Solutions architect jobs in Weymouth Town, MA

Data Architect - HR Data & Analytics Boston, MA 3-4 days onsite a week Pay Rate: $125/Hr The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Experience with Python for data engineering, automation, or orchestration tasks. Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an organization

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: None Clearance Required: None What You Will Do: Guidehouse has an exciting opportunity for a Microsoft Dynamics Architect to support our client's Case Management system. As an Architect, you will work with the technical team to design and deliver the case management solution within a given time, identify risks and mitigate the risk during the design phase. You will be responsible for high-quality projects. You will work with the client, PM, and BA and streamline the communication between teams. Key Responsibilities: Gather technical requirements and propose solutions based on client's architectural and business needs Drive Dynamics CRM implementations through all project phases, including discovery, definition, build, test, and deploy Lead data-centric discussions with the client through discovery meetings. Translate concepts into user flows, wireframes, system diagrams, and prototypes Develop integrations and customizations to Dynamics CRM Design and lead the system architecture process to create, define specifications for, and implement customizations for any custom code or data migration requirements Present tailored demonstrations of the technology solution Work with technology and business groups to define project specifications Develop technical solution designs and implementation plans and take full ownership of the Dynamics 365 solution Interact with both prospective and current customers during product demos/evaluations Enhance efficiency of development, testing and release process; develop tools and frameworks to ensure robust and high-quality delivery of Dynamics 365 Implementations Document technical risks and issues, and actively work to avoid, mitigate, resolve risks and technical debt Relay of the solution design to the development team and provide technical guidance during development of the solution to the development team. Travel to multiple customer locations for demos and meetings when required What You Will Need: US Citizenship is contractually required for this role Minimum degree: US equivalent Bachelor's Degree Minimum of Eight (8) years of professional experience Minimum of Five (5) years of experience implementing and managing CRM solutions at an enterprise level (Microsoft Dynamics CRM / Dynamics 365) Selected candidate must be able to work in a hybrid environment Evaluate, design, and implement Microsoft Dynamics 365 business solutions, often working on-site to help customers deploy their solutions Experience translating technical information in to easy-to-understand business concepts Exceptional analytical and problem-solving skills Great interpersonal skills and can be collaborative Experience developing & deploying business applications using Microsoft's Dynamics Power Platform Core Skills: C#, SQL, .Net, D365, CRM SDK, CRM Plugins, PowerApps, Power BI, & Power Automate (formally known as Flow) Must have experience with full life-cycle implementation of Dynamics 365 What Would Be Nice To Have: Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Hi There, I am Mahmood Bafana - Senior Talent Acquisition Specialist with Technogenic, we are looking to hire a Talented Professional with below skill set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at ************************* Position: Workday Data Architect Location: Boston, MA (Hybrid) Duration: Contract POSITION OVERVIEW : Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Minimum Skills Required: At least 12 years Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. At least 10 years Proficiency with data visualization tools such as Tableau or Power BI. At least 15 years Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). At least 10 years Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. At least 10 years Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams Experience building and supporting data warehouses specifically for HR and People Analytics domains. Strong experience in Data Architecture, SQL and Python Best Regards,

The Wissen team continues to expand its footprint in the Canada & USA. More openings to come as we continue to grow the team! Please read below for a brilliant career opportunity. Role: Data Modelling Architect Title: Vice President Location: Boston, MA (Day 1 Onsite/Hybrid) Mode of Work: 3 days per week onsite required Required experience: 10+ Years Job Description We are looking for an experienced Data Modelling Architect to design and optimize enterprise data models supporting risk, regulatory, and financial domains. The role requires strong expertise in conceptual, logical, and physical data modelling, along with working knowledge of Financial Risk or Operational Risk frameworks used in global banking environments. Required Skills 10-12 years of strong experience in data modelling and data architecture. Expertise in ER modelling, dimensional modelling, and industry-standard modelling methodologies. Hands-on experience with tools like Erwin, ER/Studio. Strong SQL and experience with relational databases and distributed/cloud data platforms. Working knowledge of Financial Risk, Operational Risk, or regulatory risk data (Credit Risk, Market Risk, Liquidity Risk, RCSA, Loss Events, KRI, etc.). Experience supporting regulatory frameworks such as Basel II/III, CCAR, ICAAP, or similar. Ability to work with cross-functional teams across global locations. Excellent communication and documentation skills. Benefits: Healthcare insurance for you and your family (medical, dental, vision). Short / Long term disability insurance. Life Insurance. Accidental death & disability Insurance. 401K. 3 weeks of Paid Time Off. Support and fee coverage for immigration needs. Remote office set up stipend. Support for industry certifications. Additional cash incentives. Re-skilling opportunities to transition between technologies. Schedule: Monday to Friday Work Mode: Hybrid Job Type: Full-time We are: A high end technical consulting firm built and run by highly qualified technologists. Our workforce consists of 5000+ highly skilled professionals, with leadership from Wharton, MIT, IITs, IIMs, and NITs and decades of experience at Goldman Sachs, Morgan Stanley, MSCI, Deutsche Bank, Credit Suisse, Verizon, British Telecom, ISRO etc. Without any external funding or investments, Wissen Technology has grown its revenues by 100% every other year since it started as a subsidiary of Wissen Group in 2015. We have a global presence with offices in the US, India, UK, Australia, Mexico, and Canada. You are: A true tech or domain ninja. Or both. Comfortable working in a quickly growing profitable startup, have a “can do” attitude and are willing to take on any task thrown your way. You will: Develop and promote the company's culture of engineering excellence. Define, develop and deliver solutions at a top tier investment bank or another esteemed client. Perform other duties as needed Your Education and Experience: We value candidates who can execute on our vision and help us build an industry-leading organization. Graduate-level degree in computer science, engineering, or related technical field Wissen embraces diversity and is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, skills, and abilities. We believe that the more inclusive our team is, the better our work will be. All qualified applicants, including but not limited to LGBTQ+, Minorities, Females, the Disabled, and Veterans, are encouraged to apply. About Wissen Technology: The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for diverse industries, including Banking, E-commerce, Telecom, Healthcare, Manufacturing, and Energy. We help clients build world-class products. We have offices in the US, India (Bangalore, Hyderabad, Chennai, Gurugram, Mumbai, Pune), UK, Australia, Mexico, Vietnam, and Canada. We empower businesses with a dynamic portfolio of services and accelerators tailored to today's digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud & Hybrid Cloud Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge integrations. Certified as a Great Place to Work for five consecutive years (2020-2025) and recognized as a Top 20 AI/ML vendor by CIO Insider, Wissen Group has delivered multimillion-dollar projects for over 20 Fortune 500 companies. Wissen Technology delivers exceptional value on mission-critical projects through thought leadership, ownership, and reliable, high-quality, on-time delivery. Our industry-leading technical expertise stem from the talented professionals we attract. Committed to fostering their growth and providing top-tier career opportunities, Wissen ensures an outstanding experience and value for our clients and employees. We Value: Perfection: Pursuit of excellence through continuous improvement. Curiosity: Fostering continuous learning and exploration. Respect: Valuing diversity and mutual respect. Integrity: Commitment to ethical conduct and transparency. Transparency: Open communication and trust. Website: ************** Glassdoor Reviews: ************************************************************* Wissen Thought leadership: https://**************/articles/ Latest in Wissen in CIO Insider: ********************************************************************************************************************** Employee Speak: *************************************************************** LinkedIn: ************************************************** About Wissen Interview Process: https://**************/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Wissen: A Great Place to Work https://**************/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-r-institute-india https://**************/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/ Wissen | Driving Digital Transformation A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology. Job Type: Full-time Work Location: In person

Job Title: Sr. Data Architect- HR Data & Analytics Duration: 6 - 12+ Months Notes : Snowflake,ETL/ELT, HRIS, SQL, Python. The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Architect - HR Data & Analytics Boston, MA (3-4 days onsite a week) Role Overview: The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR's global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams. Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

LOA: 12 months Solutions Architect Seeking an experienced Solutions Architect with expertise in AWS Solution Design, Generative AI (GenAI), Machine Learning (ML) to help the technical strategy and architecture for enterprise solutions. In this role, you will design and implement innovative, scalable, and secure cloud-native solutions. You will be instrumental in defining the AWS architecture for enterprise-scale projects, integrating AI/ML and automation solutions into cloud-based environments, and driving modernization initiatives across the organization. Essential Functions and Responsibilities: Strategic Leadership Develop and articulate the AWS solution architecture strategy, ensuring alignment with business goals. Design and implementation of cloud-native solutions using AWS services, including serverless architectures. Drive architectural decisions for data-driven applications and AI/ML-enabled solutions. Implement AI/ML, GenAI, and cloud adoption across the enterprise. AWS Solution Design Architect and deploy highly scalable, resilient, and secure solutions using AWS services: Compute: Lambda, EC2, ECS, EKS. Storage: S3, EBS, EFS, DynamoDB, RDS. Networking: VPC, API Gateway, CloudFront. Security: IAM, KMS, Cognito, WAF. DevOps: CloudFormation, Terraform, Code Pipeline, Code Deploy, Jenkins. Optimize cloud infrastructure for cost, performance, and reliability. Design the integration of on-premises systems with AWS cloud solutions. Implement serverless and microservices architectures leveraging AWS tools like AWS Lambda and API Gateway. Ensure compliance with cloud security best practices and AWS Well-Architected Framework principles. GitHub Management and CI/CD Automation Oversee the organization of GitHub repositories, ensuring adherence to best practices for version control and collaboration. Design and implement CI/CD pipelines using GitHub Actions for automated testing, deployment, and monitoring. Establish branching strategies, enforce code quality standards through automated checks, and manage repository permissions to maintain security and integrity. Drive adoption of GitHub workflows for streamlined development and delivery processes. Data Architecture Design and implement data pipelines, data lakes, and real-time data processing frameworks on AWS. Leverage AWS tools like Glue, Redshift, Kinesis, and Athena for data transformation and analytics. Establish data governance frameworks to ensure security and compliance. Collaborate with data scientists and engineers to operationalize AI/ML models. AI/ML and Generative AI Integration Architect and deploy AI/ML solutions on AWS using SageMaker, Lambda, and related services. Implement Generative AI (GenAI) applications, such as large language models (LLMs), NLP, and computer vision. Optimize AI/ML workflows for scalability, performance, and cost on AWS cloud platforms. Solution Design and Automation Review the design and development of Java, Java EE, Spring Boot, and Angular applications, ensuring integration with AWS services. Develop comprehensive architectural blueprints, including detailed AWS solution diagrams. Leadership and Mentorship Participate in Architectural Review Board (ARB) in collaboration with the Chief Architect, ensuring enterprise-wide architectural alignment and governance. Build and mentor a team of architects, engineers, and data scientists, fostering a culture of innovation and excellence. Provide technical leadership throughout the project lifecycle, from inception to delivery. Partner with stakeholders to ensure solutions meet technical and business requirements. Continuous Improvement Assess and enhance existing architectures, identifying opportunities to leverage AWS, AI/ML, and data technologies for modernization. Stay abreast of AWS advancements, AI/ML trends, and emerging cloud technologies. Conduct architectural reviews to ensure alignment with AWS best practices and enterprise standards. Qualifications and Education: Education and Experience Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). 15+ years of experience in technology architecture, with 7+ years designing AWS-based solutions. Proven experience leading enterprise-scale cloud transformation projects.

Role: Data Architect - HR Data & Analytics The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support KKR's global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains.

A seasoned Azure Data Architect with deep expertise in the Microsoft Fabric platform to design, develop, and govern enterprise-scale analytics and data-platform solutions. Bachelor's or Master's degree in computer science, Information Technology, or a related field. Candidate will be responsible for designing, developing, and maintaining scalable, secure, and efficient data integration pipelines using Microsoft Fabric capabilities. Develop and manage lakehouse and warehouse architectures (using Fabric Lakehouse/Warehouse, Delta Lake, etc.). This role requires strong expertise in Azure Data Factory, Azure Synapse / Data Lake, Data Lake Storage Gen2 and associated Azure data services, along with hands-on experience in ETL/ELT development, performance tuning, and automation. Design and develop data pipelines using Azure Data Factory for ingesting, transforming, and orchestrating data from multiple on-prem and cloud sources. Implement ETL/ELT processes to move data from various sources (SQL, APIs, files, SAP, etc.) to Azure Data Lake, Azure Synapse, or Databricks. Strong problem-solving skills and attention to detail. Experience working in Agile/Scrum development teams is preferred. Certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Solutions Architect or similar. Exposure to Customer data platform (MS Customer Insights Data and MS customer insights journey). Key Responsibilities Collaborate with business stakeholders and senior leadership to translate business requirements into a coherent data-platform architecture. Define and maintain the data-architecture roadmap, including data-ingestion, transformation, storage and analytics layers using Microsoft Fabric. Design end-to-end data solutions: ingestion pipelines, lakehouses/warehouses, semantic layer, analytics consumption and real-time capabilities. Architect and guide modelling of data (conceptual, logical, physical) - ensuring consistency, performance and reusability. Oversee migration of existing platforms (on-premises or legacy cloud systems) to Fabric-centric architecture. Work with data-engineering and analytics teams to implement solutions (e.g., Azure Data Factory/SQL/Synapse, Fabric pipelines, OneLake). Build and maintain parameterized, reusable ADF pipelines with dynamic configurations. Integrate ADF with Azure Functions, Logic Apps, and DevOps CI/CD pipelines. Ensure data quality, data governance, security and compliance across Fabric solutions. Monitor, tune, and optimise performance of data pipelines and storage solutions to ensure efficiency, cost-effectiveness and reliability.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do To realize our digital transformation, we need to transform our products, experiences, processes, technology and how we operate. Delivering our clients' unrivalled experience of exceptional service, value and flexibility is part of our DNA. As solution architect, you will define and design and validate implementation of technology solutions that optimize our solutions for rapid innovation while also making sure we manage risks such as cyber security and operational resilience. You will act as pioneer, thought leader, problem solver, and be sought out for your expertise by product teams, enabling them to go faster, safely, and prevent solutions that are hard to change and stifle innovation. Digital Collaboration is one of our organization's widest and strategic portfolios. To this effect, you will be challenged to bridge enterprise architecture and engineering, facilitating the design of multiple services, products and solutions within the Digital Collaboration portfolio across our messaging, collaboration, and productivity platforms. You will provide key architecture vision and roadmap direction for our Microsoft 365 and Google Workspace platforms, as well as a wealth of other products in this space, ensuring alignment with enterprise architecture, security, and compliance frameworks. You will craft AI-led designs, optimizing against many requirements such as functional needs, quality attributes (e.g., security, usability), cost, and enterprise-wide goals (e.g., cloud and API enablement). You will document architecture views, deliver architecture artifacts required by the delivery process, and validate that solutions built are done according to the architectural design. You will propose architectural epics and stories to implement the architectural runway and clear technical debt, document quality attributes in epics & stories, and define acceptance criteria. Finally, you will drive teams to maximize the automation in their deployment pipeline for effective scaling and resiliency. Researching/analyzing emerging technologies, as well as designing and advocating new technologies, architectures, and products in collaboration with system and service owners is part of your profile. The same is true for identifying risks within proposed architectures and developing mitigation plans, ensuring that our solutions are scalable and sustainable for operations. YOU'RE GOOD AT To be successful, you should bring sound development and architecture experience leveraging technologies to drive technical governance, innovation, integration and cloud-oriented strategies. Ideally, you thrive in a work environment that requires strong problem solving, analytical and decision-making skills, and independent self-direction, coupled with an aptitude for collaboration and open communication. Verbal and written communication at a business and technical level Servicing customers with a strong business orientation and connecting with skilled engineers High level of initiative, self-motivation, resourcefulness and collaboration Working well independently as well as part of a team Building relationships and reliable team player, displaying consideration and respect for others Performing successfully in a fast-paced, multi-cultural and service-oriented environment Interpreting rules and guidelines flexibly to enhance the business and aligning with BCG's values and culture Exhibiting ownership and accountability for the tasks assigned Attention to detail, well organized, and able to set priorities and take decisions Being flexible to be available outside of normal business hours for international calls as needed What You'll Bring Education and Certifications Bachelor's or greater degree 7+ years of experience in IT architecture with 5+ years in workplace or M365-focused domains Demonstrated experience in Agile architecture delivery and cross-functional team collaboration Certifications preferred: Microsoft Certified: M365 Enterprise Administrator Expert Azure Solutions Architect or similar Security and compliance certifications are a plus Familiarity with GDPR, DLP, and data privacy standards Functional/Technical Skills Architecture Assessment, Modeling, Consulting & Review Solution Design and Implementation across collaboration and productivity platforms Architecture Strategy, Development and Delivery Target Conceptual and Logical Architecture design IT Risk Management and Governance Principles Workplace services expertise, including: Email & Messaging: Exchange Online, Outlook, Superhuman Chat: Microsoft Teams Collaboration & Productivity: SharePoint, OneDrive, Planner and Loop Virtual Meetings: Microsoft Teams Tools & frameworks: Architecture documentation, RAID logs, M365 and Google Workspace governance and compliance controls Strong experience with Greenfield major system builds and Agile delivery methodologies Familiarity with Digital Design Principles and modern architecture frameworks Familiarity with Generative AI technology (i.e. ChatGPT, Copilot, Claude4Work, Gemini, etc.) and its potential application in collaboration scenarios Core Professional / Communication Skills Business & Consultative Skills to align architecture strategy with business goals Critical Thinking and Problem Solving in complex digital workplace ecosystems Systems Thinking to connect architecture decisions across domains and platforms Prioritization and Managing Expectations in a multi-stakeholder, agile environment Stakeholder Management to influence and guide technical and non-technical partners Interpersonal & Leadership Skills to lead technical discussions and coach architects

Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

NO Corp to Corp No third party vendors Only local In-person interview is mandatory Solutions Architect - AWS, AI/ML, GenAI Schedule: Mon-Thu in-office Type: Long-term Contract Interviews: 2 Zoom + 1 Onsite Local candidates only | 10-15 years experience required Solutions Architect to lead AWS architecture, AI/ML integrations, and enterprise modernization initiatives. This role drives technical strategy, designs scalable cloud-native systems, and partners across engineering, data, and product teams to deliver high-impact solutions. Key Responsibilities Define and lead AWS architecture strategy for enterprise projects. Architect scalable, secure cloud-native solutions (Lambda, EC2/ECS/EKS, S3, DynamoDB, RDS, API Gateway, VPC, CloudFront). Implement AI/ML and Generative AI solutions using SageMaker and modern ML frameworks. Design data pipelines, lakes, and analytics platforms using Glue, Redshift, Kinesis, Athena. Oversee GitHub repo structure and build CI/CD pipelines with GitHub Actions. Guide application design for Java, Spring Boot, Angular integrations with AWS. Participate in Architectural Review Board and mentor engineers across teams. Optimize cost, performance, reliability, and security following AWS best practices. Requirements Bachelor's degree required; Master's preferred. 15+ years in technology architecture, 7+ years designing AWS solutions. Strong background in cloud modernization, AI/ML, and data engineering. Proficiency with Java, Spring Boot, Angular, Terraform/CloudFormation, CI/CD, and AWS security. Preferred: AWS Solutions Architect Professional, AWS ML Specialty. Insurance industry experience (P&C) is a plus.

Data Solutions Architect Local to MA, NH or willing to relocate only! GC or USC only! The Data Solutions Architect a senior technical leader within the Data Services organization, responsible for designing and governing end-to-end data solutions that enable scalable, secure, and high-performing enterprise data capabilities. This role ensures that every data solution-from ingestion through transformation, storage, governance, and consumption-adheres to architectural standards, leverages enterprise data platforms (Informatica Data Management Cloud, AWS Redshift, and S3-based lake zones), and aligns with the company's modernization and governance strategies. The Data Solutions Architect partners across the Data Services verticals (Integration, DataOps, Data Management, & Client Services) and collaborates with Enterprise Architecture, Security, Platform Engineering and Business Intelligence teams to ensure cohesive, reusable, and well-governed data designs that accelerate delivery, improve data quality, and reduce duplication across the enterprise. Success in this role requires deep technical acumen, strong architectural judgment, and the ability to translate complex business requirements into cohesive data platform solutions. The Essential Responsibilities Performed Within This Position Include Define and maintain enterprise data architecture principles, frameworks, and standards across ingestion, transformation, storage, and consumption. Partner with business and IT peers to translate strategic data initiatives into actionable architecture roadmaps. Lead solution architecture reviews for all major data projects to ensure alignment with enterprise strategy, security policies, scalability, and compliance. Promote metadata-driven, cloud-native, and automation-first architectural patterns. Architect data solutions across the full lifecycle-source ingestion, data lake medallion architecture (Raw/Refined/Curated), data warehouse models (Redshift), and downstream consumption (Tableau, APIs, external systems). Design logical and physical data models that support both analytical and operational workloads while maintaining performance and flexibility. Define integration and orchestration patterns leveraging IDMC, AWS native services, and CI/CD pipelines for data movement and transformation. Collaborate with DataOps, Governance, and Quality teams to embed observability, lineage, and testing within all solutions. Design for data resiliency, scalability, and cost efficiency, ensuring architectures are production-ready and supportable. Enforce data governance and architecture standards including naming conventions, data contracts,and catalog integration. Partner with Data Governance and Quality teams to define and monitor architectural KPIs (data reuse, lineage completeness, quality scores). Promote data contract and data product thinking, enabling reusable, governed data assets across domains. Participate in Gate reviews and Architecture Review Boards, ensuring design artifacts meet readiness criteria. Promote data-as-a-product thinking and reusable data domain ownership models. Collaborate with Business Intelligence and analytics teams to ensure that data models are well-documented, performant, and trusted. Provide architectural guidance and mentoring to engineering teams during project delivery,balancing long-term design integrity with near-term delivery needs. Act as a key liaison between Data SVCS , Enterprise Architecture, and Application Development teams to ensure cohesive integration across the enterprise ecosystem. Work closely with project managers and product owners to balance design excellence with delivery velocity Evaluate emerging technologies and architectural trends (data mesh, event-driven design, real-time streaming, AI-assisted data quality, Iceberg/Delta formats) and assess applicability ecosystem. Lead proofs of concept to assess new architectural approaches or tools. Champion modernization of legacy ETL and reporting processes into reusable, automated, and governed data pipelines. Contribute to continuous improvement of standards, playbooks, and Confluence-based architecture documentation. Qualifications Strong understanding of Informatica IDMC (Data Integration, Quality, Catalog, Governance) and its role in an enterprise data ecosystem. Understanding of modern data and integration technologies (e.g., IDMC, Kafka, API Gateway, REST/GraphQL, microservices, event-driven architecture). Deep expertise in data architecture and design, including conceptual, logical, and physical modeling. Advanced proficiency with AWS data services: Redshift, S3, Glue, Lambda, CloudWatch, and related components. Experience with CI/CD automation, DataOps, and infrastructure-as-code (Terraform, CloudFormation). Strong grasp of security, compliance, and risk management principles. Excellent documentation and presentation skills; capable of producing clear and actionable architectural deliverables. Familiarity across multiple domains: application, data, and integration architecture. Strategic systems thinker with strong analytical, problem-solving, and communication skills with a focus on simplification and standardization. Demonstrated ability to drive architectural alignment across multiple teams and domains. Strong business acumen with the ability to connect data architecture decisions to enterprise value and outcomes. Exceptional verbal and written communication skills for technical collaboration and stakeholder engagement. Strong time management and prioritization skills in fast-paced, multi-project environments. Experience 8+ years of experience in data engineering, data architecture, or solution architecture roles. 4+ years designing enterprise-scale cloud data solutions (AWS preferred). Proven experience designing and implementing end-to-end data pipelines across ingestion, transformation, and delivery layers. Demonstrated experience supporting business transformation initiatives or modernization programs. Experience in regulated industries such as insurance, financial services, or healthcare preferred. Demonstrated success working within cross-functional data teams (engineering, governance, BI, operations). Education Bachelor's degree in management information systems, computer information systems, computer science, engineering, or a related field (required). Master's degree or relevant professional certification (e.g., TOGAF, AWS Solutions Architect,Informatica Certification) preferred. #ZR

Are you looking for a chance to lead a project and make a mark, building a company's data system? What's in it for you? Chance to build a primary data repository from scratch to transfer the company data into one location. A chance to take ownership of data modelling, data architecture and data reporting Hybrid schedule (2 days remote) Good job security at a stable company Responsibilities Build a data platform pulling from rich data sets, where data is easy to visualise, query and access Create dashboards and reports of data Led the logical and physical modelling of data Someone who can take ownership of the company's data architecture and wear many hats Must-Have Proficiency with Power BI Proficiency with SQL Proficiency with Snowflake or similar database systems Experience with ETL Tools such as Informatica Experience in Data Architecture Experience in Data reporting Experience with Data Modelling Experience with Cloud Architecture or Data Cloud Platforms (Azure/AWS/GCP) Nice to have Background in owning the data architecture and transformation for a small company Experience with predictive modelling Click the button below to apply!

Senior ERP Architect/Technical Lead (1 Opening) On-site in Wilmington MA (3x/week onsite at least) FULLTIME Must haves Responsibilities Architect and lead Oracle Cloud Fusion ERP solutions, ensuring alignment with business requirements and scalability across Finance, SCM, and HCM. Direct cross-functional teams and external partners through the full SDLC, leveraging Agile methodologies for delivery. Oversee integrations between Oracle ERP and third-party or legacy applications, ensuring data accuracy, compliance, and operational efficiency. Evaluate quarterly Oracle Cloud updates, identify opportunities for process optimization, and ensure smooth adoption of new features. Govern documentation, testing, training, and change management to support global rollouts and steady-state operations. Qualifications 7+ years of Oracle ERP leadership experience, including hands-on expertise with Oracle Cloud Fusion (SaaS, PaaS, IaaS) and Oracle EBS R12. Strong technical background in ERP integrations, middleware, and development tools (OCI, OIC, APEX, VBCS). Proven ability to lead ERP implementations end-to-end, including project planning, execution, cutover, and hypercare. Skilled in SQL/PLSQL for troubleshooting, reporting, and data validation in complex ERP environments. Experience managing compliance (SOX), master data governance, and collaboration with global stakeholders and service partners.

Following are the day-to-day work activities: Lead the design, development, and deployment of SBT solutions, ensuring alignment with enterprise architecture and business objectives. Configure and maintain Guidewire SBTs for commercial insurance products Define scalable and maintainable SBT architectures that support rapid product rollout and jurisdictional flexibility. Familiarity with ISO and AAIS standards and should convert them into Guidewire configurable solutions using Product Designer or APD Guide and mentor developers and configuration specialists, fostering best practices in Guidewire development and SBT usage. Collaborate with product owners and actuarial teams to align templates with business needs Customize rating algorithms, forms, and rules based on state-specific requirements Monitor regulatory updates and ensure timely template adjustments Develop technical documentation and lead enablement sessions for internal teams on SBT frameworks and enhancements. Provide technical documentation and training to internal stakeholders Troubleshoot and resolve issues related to SBT performance and integration Establish and enforce coding standards, review deliverables, and ensure high-quality implementation of SBTs. Identify opportunities for automation, performance optimization, and template reuse across product lines. Participate in POC /RFPs and assist in task planning, estimation, scheduling Support production deployments and post-release validation of rating changes. Remain current on new technologies, evaluate, and make recommendations, as necessary. Requirements The requirements must have are: 7+ years of relevant experience in Guidewire PolicyCenter, with at least 3 years in a technical leadership or Architectural role focused on SBT and Commercial lines of insurance. Strong proficiency in GOSU, Guidewire configuration, integration, and PolicyCenter data model. Experience designing scalable, modular solutions within Guidewire environments. Understanding of insurance regulatory requirements and jurisdictional variations. Experience with Guidewire Studio and configuration best practices. Proven ability to lead cross-functional teams and deliver complex projects on time and within scope. Experience Agile/Scrum Project Experience Good conceptual, analytical, mathematical skills About ValueMomentum: ValueMomentum is a leading solutions provider for the global property and casualty insurance industry, supported by deep domain and technology capabilities. We help insurers stay ahead with sustained growth and high performance for enhancing stakeholder value and fostering resilient societies. Trusted by over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on property and casualty. ValueMomentum is headquartered in Piscataway, NJ, with state-of-the-art delivery centers in Piscataway, NJ; Hyderabad, Pune, and Coimbatore in India; Toronto in Canada; and London in the United Kingdom.

Contact Details: 1.Poonam Khandelwal Email: poonam.khandelwal@peer-consulting.com Cell: (732) 797-9766 Job Title: Cloud Technical Architect Duration: Full Time Years of Experience: 10+ Yrs. Required Hours/Week: 40hrs./Week Job Summary: Provide end-to-end architectural leadership for enterprise applications and modernization initiatives. The role combines expertise in Azure Cloud architecture, data engineering, hybrid integrations, and AI-driven design with strong grounding in Java and security-first development. Key Responsibilities: Define and govern the technical architecture across application, data, and integration layers. Design scalable hybrid architectures spanning on-prem and Azure cloud environments. Establish secure API and service frameworks using OAuth 2.0 / OIDC, encryption, and compliance best practices. Architect and guide development of modular applications using Java/Spring Boot and REST-based microservices. Design and optimize data processing and event pipelines for analytics and downstream systems (e.g., Azure Data Lake, Kafka/Event Hub). Collaborate with data engineering teams to define data flow, retention, and governance models. Evaluate and integrate AI/ML capabilities where automation, personalization, or predictive insights add value. Provide architectural oversight for performance, scalability, and cost optimization. Partner with enterprise architects to ensure alignment with security, compliance, and cloud governance standards. Mentor engineering teams and lead technical design reviews to ensure solution integrity and forward compatibility. Required Skills and Experience: 10-15 years overall IT experience, with 5+ years in architecture roles. Hands-on expertise in Azure Cloud services (App Services, Functions, Cosmos DB, Data Factory, Event Hub, Key Vault). Strong foundation in Java, Spring Boot, REST APIs, and integration frameworks. Proven experience designing data pipelines and streaming architectures. Familiarity with AI/ML concepts and cloud-based AI services (Azure OpenAI, Cognitive Services preferred). Strong understanding of security, identity, and compliance frameworks in enterprise environments. Excellent communication and leadership skills Ability to engage with senior stakeholders and cross-functional teams.

Database Architect Role (Database Architect including Dev Ops experience) We are seeking a highly skilled Database Architect with deep expertise in Oracle and Microsoft SQL Server to design, implement, and optimize enterprise-level database solutions. This role involves creating scalable, secure, and high-performing database architectures that align with business objectives and technical standards. Key Responsibilities: Database Build and Deploy Operations Automate database build, deployment, and rollback processes integrated with CI/CD pipelines. Define and implement robust deployment and rollback strategies for database changes. Create sanitized, lightweight databases for feature development environments. Establish version control practices for database scripts and maintain a clear, consistent source code repository structure. Should have flyway and liquibase experience Database Architecture & Design: Develop logical and physical data models for complex applications. Design schemas, tables, indexes, and relationships for optimal performance. Define data governance policies, standards, and best practices. Technology Strategy & Planning: Create database architecture roadmap aligned with business goals. Evaluate and recommend database technologies (Oracle RAC, SQL Server Always On, cloud solutions). Plan for high availability, scalability, and disaster recovery. Performance & Optimization: Design for query efficiency, indexing strategies, and storage optimization. Collaborate with DBAs and developers for performance tuning. Integration & Security: Define data integration strategies across systems and platforms. Ensure compliance with security standards and regulatory requirements. Collaboration & Leadership: Work closely with application architects, business analysts, and DBAs. Provide technical guidance and mentorship to development teams. Required Skills & Qualifications: Technical Expertise: Strong experience in Oracle 12c/19c and SQL Server 2016/2019 architecture. Proficiency in data modeling, PL/SQL, T-SQL, and performance tuning. Knowledge of ETL processes, data warehousing, and cloud databases (Azure SQL, Oracle Cloud). Additional Skills: Familiarity with enterprise architecture frameworks. Strong understanding of high availability solutions (Oracle RAC, AlwaysOn Availability Groups). Excellent analytical and problem-solving skills. Experience: 10+ years of experience in database design and architecture.

GC and USC Only ================ Job Title: Full Stack Java Architect - AWS Connect | Node.js | Banking Job Description: We are seeking a highly skilled Fullstack Architect with strong expertise in AWS Connect contact center solutions, NodeJS backend development, cloud-native architecture, and deep functional knowledge of Retail Banking, New Account Opening (NAO) Flows, KYC/KYB, Identity Verification & Customer Onboarding workflows. The ideal candidate will be responsible for designing scalable, secure, and high-performance solutions across customer onboarding and servicing journeys, integrating front-end applications, backend microservices, and AWS Connect telephony solutions. Roles & Responsibilities: Architect and design end-to-end digital banking onboarding solutions, including new account opening workflows, applicant verification, funding, approvals, and fulfillment processes. Lead architecture and development of NodeJS-based microservices, REST APIs, and event-driven components integrated with AWS services. Architect and configure Amazon Connect Contact Center including call flows, IVR, lambda integrations, routing profiles, telephony flows, call recording, and CTI integrations. Integrate AWS Connect with CRM and core banking systems. Drive migration and modernization from legacy systems to cloud-native architecture on AWS. Required Skills & Qualifications: Strong hands-on expertise with NodeJS, JavaScript/TypeScript, RESTful APIs, Microservices architecture Expertise in AWS Connect Contact Center, AWS Lambda, API Gateway. Experience with banking new account opening flows, onboarding & verification processes (KYC, AML, Credit Bureau checks, Funding, OFAC checks). Experience integrating Digital Banking, Core Banking, CRM & workflow tools. Experience implementing OAuth2, JWT, PKI, encryption, SSO, IAM, cybersecurity frameworks.