Solutions Architect jobs at Front

Enterprise Solution Architect Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you'll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems • Define and document technical and business requirements • Drive cloud-first and hybrid strategies (Azure preferred) • Evaluate internal solutions vs. vendor platforms • Support implementation across dev, infrastructure, and business teams • Translate between technical teams and business stakeholders • Create documentation (workflows, user stories, diagrams, etc.) What We're Looking For: • 10+ years of experience in enterprise architecture or IT consulting • Deep understanding of cloud architecture and hybrid cloud environments • Proven ability to lead cross-functional tech projects • Strong communicator, comfortable interfacing with executives and developers alike • Experience in large, data-sensitive or regulated environments a plus

Enterprise Solution Architect Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you'll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems • Define and document technical and business requirements • Drive cloud-first and hybrid strategies (Azure preferred) • Evaluate internal solutions vs. vendor platforms • Support implementation across dev, infrastructure, and business teams • Translate between technical teams and business stakeholders • Create documentation (workflows, user stories, diagrams, etc.) What We're Looking For: • 10+ years of experience in enterprise architecture or IT consulting • Deep understanding of cloud architecture and hybrid cloud environments • Proven ability to lead cross-functional tech projects • Strong communicator, comfortable interfacing with executives and developers alike • Experience in large, data-sensitive or regulated environments a plus

Enterprise Solution Architect Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you'll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems • Define and document technical and business requirements • Drive cloud-first and hybrid strategies (Azure preferred) • Evaluate internal solutions vs. vendor platforms • Support implementation across dev, infrastructure, and business teams • Translate between technical teams and business stakeholders • Create documentation (workflows, user stories, diagrams, etc.) What We're Looking For: • 10+ years of experience in enterprise architecture or IT consulting • Deep understanding of cloud architecture and hybrid cloud environments • Proven ability to lead cross-functional tech projects • Strong communicator, comfortable interfacing with executives and developers alike • Experience in large, data-sensitive or regulated environments a plus

Enterprise Solution Architect Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you'll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems • Define and document technical and business requirements • Drive cloud-first and hybrid strategies (Azure preferred) • Evaluate internal solutions vs. vendor platforms • Support implementation across dev, infrastructure, and business teams • Translate between technical teams and business stakeholders • Create documentation (workflows, user stories, diagrams, etc.) What We're Looking For: • 10+ years of experience in enterprise architecture or IT consulting • Deep understanding of cloud architecture and hybrid cloud environments • Proven ability to lead cross-functional tech projects • Strong communicator, comfortable interfacing with executives and developers alike • Experience in large, data-sensitive or regulated environments a plus

Shape the backbone of global recruiting technology. As Solution Architect, you'll design and oversee technical alignment across our AI Digital Recruiter, CRM/ATS, and Workday, ensuring seamless integration at scale. What You'll Do: Lead discovery and solutioning for global implementations. Define data flows, integrations, and field mappings. Develop standardized architecture documentation and reusable templates. Partner with engineering and Workday teams to ensure compliance and data integrity. Serve as design authority for AI and ATS solutions, driving consistency and security. What We're Looking For: 7+ years in systems architecture or solution design (HR tech or SaaS). Expertise in APIs, integrations, and automation frameworks. Experience with Microsoft Azure and Workday HCM/Recruiting. Strong analytical and communication skills. Ability to travel up to 20%. Why Join Us: Strategic role shaping global recruiting platforms. Work with cutting-edge AI and enterprise systems. Competitive compensation and growth opportunities. Ready to architect the future of recruiting? Apply now or connect to learn more! #SolutionArchitecture #HRTech #WorkdayIntegration #AIRecruiting

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

Job Title : - Principal ML Architect (Machine Learning) Type of Employment : - Fullltime What's in it for you :- As a Machine Learning / Deep Learning Architect you will: Lead the design of ML/DL architectures for multi-modal data (imaging, clinical, omics) in both exploratory and GxP-regulated environments. Integrate Gen AI and conversational analytics to create intelligent workflows and next-gen solutions. Develop proofs of concept and validate models for mission-critical healthcare applications. Key Responsibilities · Design ML/DL architecture for multi-modal data (imaging, clinical, omics) supporting algorithms development in exploratory and GxP regulated environments · Architect and Design Algorithims applications portability for internal and external deployments in regulated environment · Build scalable pipelines for training, inference, and model deployment · Handle model life cycle · Ensure compliance with 21 CFR Part 11, HIPAA, GxP and SaMD standards · Collaborate with cross-functional teams to align architecture with regulatory and operational requirements · Create proof of concept for important areas · Gen AI integration and LLM usage for intelligent workflows & conversational analytics · GxP and SaMD validate models Required Skills & Experience · 15 years of experience · Extensive experience with AWS ML / Deep Learning services(HPC with job schedulers) e.g., SageMaker, EC2 GPU instances, EKS etc. · Extensive experience with ML Ops · Extensive experience working in validated environments · Extensive experience with python-based ml / deep learning frameworks · Knowledge of imaging standards · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas Educational Qualifications: - Engineering Degree - BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Recruiter Details : - Name : - Prashant Pal Email I'd : - *********************

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalities that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Principal Architect - Azure Databricks We are seeking a visionary Azure Architect with deep expertise in the Databricks ecosystem and emerging Agentic AI technologies. This role involves designing and implementing scalable data and AI platforms, integrating intelligent agents, and driving innovation across enterprise data landscapes. Key Responsibilities: Architect and lead implementation of scalable data platforms using Azure and Databricks Lakehouse. Design modular, reusable pipelines across ETL, ML, MLOps, and GenAI lifecycles. Integrate Agentic AI systems, including autonomous agents, Retrieval-Augmented Generation (RAG), vector stores, and tool-chaining agents. Define and manage metadata store architecture to support LLM agents with lineage and discoverability. Collaborate with engineering teams to embed metadata-driven intelligence into agent behavior. Establish data governance and compliance frameworks for human-in-the-loop validation and auditability. Review and guide BRD, HLD, LLD, and code artifacts to ensure alignment with best practices. Configure and troubleshoot Databricks SDKs, Notebooks, Azure Synapse workflows, and related environments. Lead integration of Databricks with other Azure services and enterprise platforms. Mentor teams and promote best practices in data architecture and AI-driven automation. Technical Skills: 12-16 years of experience in enterprise data platforms, with 3-5 years as a Databricks Architect. Hands-on experience with PySpark, Delta Lake, MLFlow, Unity Catalog, and Databricks Workflows. Strong background in AI/ML, including Generative AI, LLMs, and Agentic AI systems. Familiarity with data mesh, medallion architecture, and governance frameworks. Proficiency in Azure DevOps, Python, and Databricks SQL. Preferred Qualifications: Experience with Mosaic AI, Delta Live Tables, and AI/BI workflows. Knowledge of real-time data processing using Kafka and Azure Data Lake Store. Certifications in Azure Solutions Architect, Databricks, or AI/ML technologies. Strong communication and leadership skills to work with cross-functional teams. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $220,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor' and a ‘Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Fractal is looking for a proactive and driven AWS Lead Data Architect/Engineer to join our cloud and data tech team. In this role, you will work on designing the system architecture and solution, ensuring the platform is scalable while performant, and creating automated data pipelines. Responsibilities: Design & Architecture of Scalable Data Platforms Design, develop, and maintain large-scale data processing architectures on the Databricks Lakehouse Platform to support business needs Architect multi-layer data models including Bronze (raw), Silver (cleansed), and Gold (curated) layers for various domains (e.g., Retail Execution, Digital Commerce, Logistics, Category Management). Leverage Delta Lake, Unity Catalog, and advanced features of Databricks for governed data sharing, versioning, and reproducibility. Client & Business Stakeholder Engagement Partner with business stakeholders to translate functional requirements into scalable technical solutions. Conduct architecture workshops and solutioning sessions with enterprise IT and business teams to define data-driven use cases Data Pipeline Development & Collaboration Collaborate with data engineers and data scientists to develop end-to-end pipelines using Python, PySpark, SQL Enable data ingestion from diverse sources such as ERP (SAP), POS data, Syndicated Data, CRM, e-commerce platforms, and third-party datasets. Performance, Scalability, and Reliability Optimize Spark jobs for performance tuning, cost efficiency, and scalability by configuring appropriate cluster sizing, caching, and query optimization techniques. Implement monitoring and alerting using Databricks Observability, Ganglia, Cloud-native tools Security, Compliance & Governance Design secure architectures using Unity Catalog, role-based access control (RBAC), encryption, token-based access, and data lineage tools to meet compliance policies. Establish data governance practices including Data Fitness Index, Quality Scores, SLA Monitoring, and Metadata Cataloging. Adoption of AI Copilots & Agentic Development Utilize GitHub Copilot, Databricks Assistant, and other AI code agents for Writing PySpark, SQL, and Python code snippets for data engineering and ML tasks. Generating documentation and test cases to accelerate pipeline development. Interactive debugging and iterative code optimization within notebooks. Advocate for agentic AI workflows that use specialized agents for Data profiling and schema inference. Automated testing and validation. Innovation and Continuous Learning Stay abreast of emerging trends in Lakehouse architectures, Generative AI, and cloud-native tooling. Evaluate and pilot new features from Databricks releases and partner integrations for modern data stack improvements. Requirements: Bachelor's or master's degree in computer science, Information Technology, or a related field. 8-12 years of hands-on experience in data engineering, with at least 5+ years on Python and Apache Spark. Expertise in building high-throughput, low-latency ETL/ELT pipelines on AWS/Azure/GCP using Python, PySpark, SQL. Excellent hands on experience with workload automation tools such as Airflow, Prefect etc. Familiarity with building dynamic ingestion frameworks from structured/unstructured data sources including APIs, flat files, RDBMS, and cloud storage Experience designing Lakehouse architectures with bronze, silver, gold layering. Strong understanding of data modelling concepts, star/snowflake schemas, dimensional modelling, and modern cloud-based data warehousing. Experience with designing Data marts using Cloud data warehouses and integrating with BI tools (Power BI, Tableau, etc.). Experience CI/CD pipelines using tools such as AWS Code commit, Azure DevOps, GitHub Actions. Knowledge of infrastructure-as-code (Terraform, ARM templates) for provisioning platform resources In-depth experience with AWS Cloud services such as Glue, S3, Redshift etc. Strong understanding of data privacy, access controls, and governance best practices. Experience working with RBAC, tokenization, and data classification frameworks Excellent communication skills for stakeholder interaction, solution presentations, and team coordination. Proven experience leading or mentoring global, cross-functional teams across multiple time zones and engagements. Ability to work independently in agile or hybrid delivery models, while guiding junior engineers and ensuring solution quality Must be able to work in PST time zone. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150k - $180k. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor' and a ‘Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Fractal is looking for a proactive and driven AWS Lead Data Architect/Engineer to join our cloud and data tech team. In this role, you will work on designing the system architecture and solution, ensuring the platform is scalable while performant, and creating automated data pipelines. Responsibilities: Design & Architecture of Scalable Data Platforms Design, develop, and maintain large-scale data processing architectures on the Databricks Lakehouse Platform to support business needs Architect multi-layer data models including Bronze (raw), Silver (cleansed), and Gold (curated) layers for various domains (e.g., Retail Execution, Digital Commerce, Logistics, Category Management). Leverage Delta Lake, Unity Catalog, and advanced features of Databricks for governed data sharing, versioning, and reproducibility. Client & Business Stakeholder Engagement Partner with business stakeholders to translate functional requirements into scalable technical solutions. Conduct architecture workshops and solutioning sessions with enterprise IT and business teams to define data-driven use cases Data Pipeline Development & Collaboration Collaborate with data engineers and data scientists to develop end-to-end pipelines using Python, PySpark, SQL Enable data ingestion from diverse sources such as ERP (SAP), POS data, Syndicated Data, CRM, e-commerce platforms, and third-party datasets. Performance, Scalability, and Reliability Optimize Spark jobs for performance tuning, cost efficiency, and scalability by configuring appropriate cluster sizing, caching, and query optimization techniques. Implement monitoring and alerting using Databricks Observability, Ganglia, Cloud-native tools Security, Compliance & Governance Design secure architectures using Unity Catalog, role-based access control (RBAC), encryption, token-based access, and data lineage tools to meet compliance policies. Establish data governance practices including Data Fitness Index, Quality Scores, SLA Monitoring, and Metadata Cataloging. Adoption of AI Copilots & Agentic Development Utilize GitHub Copilot, Databricks Assistant, and other AI code agents for Writing PySpark, SQL, and Python code snippets for data engineering and ML tasks. Generating documentation and test cases to accelerate pipeline development. Interactive debugging and iterative code optimization within notebooks. Advocate for agentic AI workflows that use specialized agents for Data profiling and schema inference. Automated testing and validation. Innovation and Continuous Learning Stay abreast of emerging trends in Lakehouse architectures, Generative AI, and cloud-native tooling. Evaluate and pilot new features from Databricks releases and partner integrations for modern data stack improvements. Requirements: Bachelor's or master's degree in computer science, Information Technology, or a related field. 8-12 years of hands-on experience in data engineering, with at least 5+ years on Python and Apache Spark. Expertise in building high-throughput, low-latency ETL/ELT pipelines on AWS/Azure/GCP using Python, PySpark, SQL. Excellent hands on experience with workload automation tools such as Airflow, Prefect etc. Familiarity with building dynamic ingestion frameworks from structured/unstructured data sources including APIs, flat files, RDBMS, and cloud storage Experience designing Lakehouse architectures with bronze, silver, gold layering. Strong understanding of data modelling concepts, star/snowflake schemas, dimensional modelling, and modern cloud-based data warehousing. Experience with designing Data marts using Cloud data warehouses and integrating with BI tools (Power BI, Tableau, etc.). Experience CI/CD pipelines using tools such as AWS Code commit, Azure DevOps, GitHub Actions. Knowledge of infrastructure-as-code (Terraform, ARM templates) for provisioning platform resources In-depth experience with AWS Cloud services such as Glue, S3, Redshift etc. Strong understanding of data privacy, access controls, and governance best practices. Experience working with RBAC, tokenization, and data classification frameworks Excellent communication skills for stakeholder interaction, solution presentations, and team coordination. Proven experience leading or mentoring global, cross-functional teams across multiple time zones and engagements. Ability to work independently in agile or hybrid delivery models, while guiding junior engineers and ensuring solution quality Must be able to work in PST time zone. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150k - $180k. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

TITLE: Enterprise Engineering Leader Responsibilities: Guide the architecture and technical strategy for enterprise-scale integrations and backend systems. Lead a pod of 3-4 engineers, providing mentorship, solution direction, and engineering oversight. Collaborate with other architects and cross-functional teams on system design, scalability, and best practices. Contribute hands-on coding (approx. 10-50% depending on project phase) with a primary focus on leadership, architecture, and system design. Drive engineering excellence through code reviews, standards, observability, and CI/CD improvements. Design and build GCP-based microservices supporting high-scale, high-volume enterprise workloads. Build custom REST and GraphQL APIs, enabling data integration across multiple internal and external systems. Lead enterprise system integrations, especially around ERP (NetSuite strongly preferred). Support integration initiatives in inventory, item master, financials, product catalog, and fulfillment. Oversee CI/CD pipelines (Terraform, Kubernetes, containerization) and cloud infrastructure patterns. Partner on enterprise observability strategy using Datadog or similar platforms. Improve performance, reliability, and system health across high-load distributed services. Requirements: 10+ years of engineering experience with strong backend expertise. Proven experience building microservices in GCP (Cloud Run, GKE, Pub/Sub, Cloud Functions, etc.). Strong proficiency in Python and/or JavaScript. Deep experience with REST and GraphQL APIs and enterprise integration design. Hands-on experience with CI/CD, Terraform, Kubernetes, and containerization. Strong understanding of ERP integrations-NetSuite experience strongly preferred. Experience integrating data across large, complex enterprise systems. Demonstrated technical leadership, including architecture, mentoring, and team guidance. Preferred Experience: Experience in manufacturing, supply chain, or complex enterprise operations. Experience with highly customized enterprise platforms (vs. off-the-shelf e-commerce). Familiarity with observability tooling (Datadog, New Relic, etc.). Previous leadership of multi-pod or multi-team engineering structures. The compensation range for this position is $160,000.00 to $240,000.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to ***************************. If you require assistance or an accommodation in the application or employment process, please contact us at ***************************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

We are seeking a Senior Architect to lead the design and execution of Commercial, Retail, Education, and Healthcare projects. This role requires a blend of creativity and technical expertise to deliver innovative solutions that meet client needs while adhering to industry standards and regulations. Project Types: Education • Healthcare • Commercial Developments Key Responsibilities Lead the architectural design process for Commercial, Healthcare, Retail/Restaurant, and mixed-use projects from concept to completion. Collaborate with clients, consultants, and contractors to ensure design intent is realized throughout the project lifecycle. Prepare and review construction documents, specifications, and drawings to meet project goals and timelines. Conduct site visits and coordinate with construction administration teams to ensure compliance with design and quality standards. Stay updated on industry trends, building codes, and best practices to provide innovative design solutions. Qualifications Bachelor's or Master's degree in Architecture from an accredited institution. Registered Architect with AIA and NCARB certification preferred. 10+ years of proven experience in Commercial and mixed-use project design and documentation. Proficiency in Revit and other architectural design software. Strong understanding of construction administration processes and building codes.

Our client is seeking a Senior Solution Architect (ServiceNow IRM) to join their team! This position is located in Chicago, Illinois. Provide strategic vision for data architecture, platforms, and governance, translating business objectives into effective, scalable, and secure technical solutions Lead the end-to-end design of complex data solutions, including data warehousing, data modeling, and reporting infrastructure, with a critical emphasis on RDARR capabilities Serve as a subject matter expert for data technologies and regulatory requirements, guiding the selection and implementation of platforms such as Databricks and Snowflake to meet BCBS 239 standards Govern architectural standards and best practices, ensuring all data initiatives align with the long-term data strategy, overall enterprise architecture, and BCBS 239 principles Establish and enforce data lineage protocols, with a focus on Critical Data Elements (CDEs), to ensure traceability, accuracy, and completeness for risk reporting Mentor and guide data engineering and BI teams, providing architectural oversight throughout the solution delivery lifecycle, particularly for RDARR implementation and data governance Lead technical workshops to capture business and technical requirements, particularly those related to risk data aggregation and reporting, translating them into architectural designs Create and document architectural designs, roadmaps, and technical specifications for data platforms and solutions, ensuring alignment with BCBS 239 principles Define and implement data lineage strategies to provide a clear, traceable record of how critical data elements are sourced, transformed, and aggregated for regulatory reports Provide architectural governance, reviewing solution designs and implementation plans from data engineering and BI teams to ensure data accuracy, completeness, and timeliness for risk reporting Advise on data governance, security standards, and data models to ensure a high-quality, long-term data landscape, including data lineage and transparency required by BCBS 239 Perform technical evaluations of new data technologies and features, building proof-of-concepts to validate architectural approaches, especially for enhancing RDARR capabilities Collaborate with business stakeholders, risk management, and compliance teams to define data strategy and ensure alignment with BCBS 239 and RDARR requirements Serve as the key technical liaison between the engineering teams and executive leadership, presenting architectural decisions and roadmap updates, including compliance progress Desired Skills/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience 7+ years of experience in data architecture or solution architecture, with a proven track record of designing and delivering large-scale data platforms Deep expertise in designing data architectures on Oracle, Databricks, and Snowflake, considering performance optimization and scalability requirements for financial data Extensive experience with modern data orchestration and storage frameworks, such as Apache Airflow and Iceberg Proven ability to integrate diverse data sources and design robust data models to support business intelligence, reporting, and regulatory reporting specifically for financial risk (RDARR) Strong understanding and direct experience with BCBS 239 principles for risk data aggregation and reporting, including governance, data quality, timeliness, and adaptability Hands-on experience in implementing data lineage solutions, and managing critical data elements within a financial services context In-depth knowledge of data architecture principles, data modeling techniques, including dimensional modeling for regulatory reporting, and data governance frameworks compliant with BCBS 239 Strong communication and presentation skills, with the ability to convey complex technical concepts and strategy, including regulatory requirements related to data, to both technical and executive-level stakeholders Expertise in data warehousing and ETL/ELT patterns, particularly within a financial risk context Relevant industry certifications such as: cloud platform architect certification or certifications related to data management and governance are highly valued Experience with other risk management software or enterprise risk processes Proficiency with Agile or other iterative development methodologies Experience with metadata management tools to document and manage data lineage and CDEs Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $123.00 and $143.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

- Coupa Architect Rate- $65/hr Job descriptions: Design and implement Coupa solutions as a lead architect, ensuring seamless integration with ERP systems and alignment with business processes. Drive end-to-end Coupa implementation, including configuration, testing, and deployment.

Role: Music Industry Domain Architect Seeking a Music Industry Domain Architect to anchor strategic global music accounts. This leadership role blends music label, publishing, and streaming domain depth, covering the full digital supply chain. It requires consulting-led solutioning, techno-functional architecture expertise, and AI/Agentic-AI innovation to drive business transformation, enterprise architecture strategy, and pre-sales leadership Domain Expertise: As a Domain Architect, you will oversee and integrate the Music Industry value chain, designing scalable architecture, driving data-powered monetization, and leading AI-enabled transformations. Music (Labels, Publishing, Streaming) Experience in music value chain by defining the end-to-end enterprise architecture blueprint Define the end-to-end enterprise architecture blueprint for music companies encompassing catalog ingestion, rights clearance, licensing, distribution, and downstream monetization. Understanding of integration ecosystem including metadata standards for accurate attribution and rights tracking across Digital Service Providers (DSP) and Performing Rights Organisations (PRO) Knowledge of artist & rights-holder dashboards providing real-time streaming data, royalty splits, and predictive royalty analytics Knowledge of multi-format content workflows (audio, video, podcasts, short form) ensuring seamless localization, automated QC, and metadata enrichment Apply AI/Agentic-AI frameworks for different use-cases like - content recognition (ACR), royalty fraud detection, predictive royalty forecasting, and automated licensing Publishing rights architecture covering song registration, synchronization licensing, ownership splits, and downstream reporting to PROs (ASCAP, BMI, PRS) Rights & Royalties: Enterprise-scale Rights & Royalty Management platforms global media markets Digital Asset Management (DAM) for enterprise-scale platforms and architect music-centric DAM systems for catalog storage, archival, and multi-territory distribution C360/ Customer Data Platforms (CDPs) architect artist, fan, and partner 360 profiles integrating streaming, social, and commerce data to drive fan engagement, retention, and monetization enabling identity resolution, unified customer profiles, cross-channel segmentation, and real-time personalization across linear, digital, and streaming ecosystems Techno-Functional Design & Delivery: Partner with music business and technology stakeholders to define the “future state” architecture blueprint covering cloud-native, SaaS, and legacy systems Lead consulting-driven modernization initiatives including APR, ERP transformation, cloud migration, and tech-debt elimination Anchor high-level and integration blueprints to connect cross-platform media systems with 3rd-party products and emerging technologies, ensuring seamless data flow and interoperability Drive PoCs and accelerators demonstrating AI/ Agentic-AI capabilities such as LLMs, RAG pipelines, vector databases, and multi-agent orchestration tailored to media workflows Business Development, Pre-Sales & Partnerships Lead domain-led responses to RFI/RFPs, including detailed architecture proposals, cost-benefit models, and client-specific solution pitches Build & position music-centric accelerators and solution frameworks to shorten sales cycles and showcase capability differentiation Expedite the right-fit partnerships with major DSPs, rights organizations, and music tech platforms Point of View (PoV) Creation & Thought Leadership Conceptualize and publish domain-specific PoVs and innovation playbooks on music trends such as direct artist-to-fan platforms, blockchain-enabled royalties, and AI-generated music rights frameworks Develop media innovation playbooks, AI capability briefs, and client-specific roadmaps to influence transformation journeys Qualifications & Experience Bachelor/Master degree in Computer Science, Information Technology, Media Technology, or related fields are preferred 15+ years of IT experience, with at least 10 years in music, labels, publishing, or streaming domain architecture Proven track record of large-scale transformations and AI-enabled solutions for global media clients Experience in US-based music companies (labels, publishers, DSPs) (preferred)

Full Time San Francisco, CA (Onsite 4 days/Week) As Application Architect , you will: Lead the technical design and implementation of next-generation image viewing and annotation solutions for healthcare Contribute to defining and executing the future technical roadmap for advanced imaging platforms Key Responsibilities · Technical design of the future vision · Campaigns Management · Architect and implement image viewing and annotation solutions for medical imaging · Optimize performance for large-scale image rendering and annotation workflows · Logging, Audits, Versioning · Application deployment · Gen AI integration and LLM usage for intelligent workflows & conversational analytics Required Skills & Experience · 15 years of experience · Extensive experience on how DICOM viewers work, result generation, results fed back into the system i.e. loop cycle · Extensive experience on Annotations, Overlays · Understanding of Zero foot-print viewer · Extensive experience on OHIF viewers v2 and v3 · Experience developing Digital PAthology viewers · Extensive experience on DICOM web protocol · Extensive experience working with Angular / React, .net / java / python, relational / non-relational databases · Knowledge of imaging standards e.g. DICOM, NIFTI · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas · Understanding of healthcare interoperability Location: - San Francisco, CA (Onsite 4 days/Week)

Job Description : - Job Title : - Principal Application Architect with DICOM or Medical Imaging Type of Employement : - Fulltime What's in it for you :- As Application Architect , you will: Lead the technical design and implementation of next-generation image viewing and annotation solutions for healthcare Contribute to defining and executing the future technical roadmap for advanced imaging platforms Key Responsibilities · Technical design of the future vision · Campaigns Management · Architect and implement image viewing and annotation solutions for medical imaging · Optimize performance for large-scale image rendering and annotation workflows · Logging, Audits, Versioning · Application deployment · Gen AI integration and LLM usage for intelligent workflows & conversational analytics Required Skills & Experience · 15 years of experience · Extensive experience on how DICOM viewers work, result generation, results fed back into the system i.e. loop cycle · Extensive experience on Annotations, Overlays · Understanding of Zero foot-print viewer · Extensive experience on OHIF viewers v2 and v3 · Experience developing Digital PAthology viewers · Extensive experience on DICOM web protocol · Extensive experience working with Angular / React, .net / java / python, relational / non-relational databases · Knowledge of imaging standards e.g. DICOM, NIFTI · Worked in radiology & digital pathology · Worked in ophthalmology / neurology / oncology disease areas · Understanding of healthcare interoperability Recruiter Details : - Name Prashant Pal Email I'd : - *********************