Data Architect jobs at Western Union

Must Have Technical/Functional Skills • Strong knowledge of data modeling tools (e.g., ERwin, PowerDesigner, ER/Studio). • Proven experience as a Data Modeler or similar role. • Proficiency in SQL and database technologies (e.g., Oracle, SQL Server, MySQL, Teradata). • Understanding of data warehousing concepts and ETL processes. • Document data models and maintain metadata repositories. • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. • Work with database administrators to implement and optimize data models in production environments. • Knowledge of data governance frameworks and compliance standards. Roles & Responsibilities • Design, develop, and maintain data models that support business processes and analytics. • Strong understanding of data architecture, database design, and data warehousing concepts, and will work closely with business analysts, data architects, and developers to ensure data integrity and usability • Design and develop conceptual, logical, and physical data models based on business requirements. • Collaborate with stakeholders to understand data needs and translate them into effective data models. • Analyze existing data structures and recommend improvements or optimizations. • Ensure data models align with enterprise data architecture standards and best practices. • Support data integration and ETL processes by providing clear data definitions and relationships. • Document data models and maintain metadata repositories. • Work with database administrators to implement and optimize data models in production environments. • Assist in data governance and data quality initiatives. • Stay current with industry trends and emerging data modeling tools and techniques. Generic Managerial Skills, If any • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. Base Salary Range: $100,000 - $130,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection.< /span> Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Expectations / Deliverables for the Role • Connects the enterprise by defining reference integration patterns across SAP and non-SAP systems. • Produces reference integration architectures by leveraging expert input from application, data, platform, and security engineering teams. These architectures form the foundation for new integrations and digital solutions. • Continuously evolves integration standards to support changing business models and application landscapes. • Leverages SAP BTP, API Management, and Integration Suite to modernize connectivity and enable event-driven architectures. • Champions reuse and simplification to reduce custom interfaces and eliminate technical debt. • Defines and evolves integration KPIs, metrics, and dashboards to improve reliability and operational visibility. • Guides teams in selecting the right integration approach (API, event, batch, IDoc) for each use case. Technical Proficiency • Strong experience with SAP Integration Suite, API Management, and event-based integration patterns. • Knowledge of hybrid integration landscapes spanning SAP and non-SAP systems. • Experience designing secure, scalable, and resilient integration architectures. • Understanding of monitoring, error handling, and operational support for integrations. • Familiarity with Clean Core-aligned integration and extension approaches. Soft Skills • Strong decision-making skills with the ability to balance speed, quality, and long-term cost. • Clear communicator who can explain architecture choices, trade-offs, and cost impacts to stakeholders. • Collaborative individual who brings together multiple engineering teams to shape shared solutions. • Comfortable challenging designs constructively in ARB reviews • Acts as a trusted advisor / partner to other IS&T Teams TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Ma ternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commute r Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode. They are currently looking for a Senior Data Engineer w/ 6+ years of overall professional experience. Qualified candidates will have hands-on experience with Python (6 years), SQL (6 years), DBT (3 years), AWS (Lambda, Glue), Airflow and Snowflake (3 years). BSCS and good CS fundamentals. The Senior Data Engineer will work in a collaborative team environment and will be responsible for building, optimizing and scaling ETL Data Pipelines, DBT models and Datawarehousing. Excellent communication and organizational skills are expected. This role features competitive base salary, equity, 401(k) with company match and many other attractive perks. Please send your resume to ******************* for immediate consideration.

Principal / Senior Cloud Solution Architect(US) This position offers flexible location options and is open to candidates based in Palo Alto, Los Angeles, or Seattle. Duties and Responsibility: Become a Subject Matter Expert (SME) in the Tencent Cloud Services Platform Remove Sales obstacles by providing internal consulting, training, and knowledge support Partner with Sales to build long-term account relationships, that deliver ongoing business value Develop Tencent Cloud-based demonstrations and solutions that successfully meet customer requirements Collaborate with internal Product and Engineering teams to diagnose and resolve problem cases Contribute to solution design, technical documentation, and complete awareness within the Solutions Team Requirements: Ability to communicate in English and Mandarin with international teams preferred but not required. Bachelor's degree (or higher), with exposure to computer science, math, engineering, or equivalent practical experience 5+ years' experience in a Solutions Engineering or Pre/Post-Sales role, or demonstrated success in a related field Experience with physical and virtualized infrastructure, operating systems, and software configuration Experience with CDN/web caching, large file download, HTTP headers, and HTTP debugging tools Exposure to DNS, load balancing, HTTP web applications, mobile apps, and live streaming (audio/video) Experience in A/B testing, HTTP application and network performance analysis, and technical report writing Awareness of cloud compute cost models, network topology, platform services, and common storage option Awareness of Amazon Web Services (AWS), Google Cloud Platform (GCP), and other cloud providers Overall technical savvy with demonstrated ability in work in a small team setting, owning complex technical projects with international scope Experience managing and collaborating on long-term implementation projects, with documented results Lateral and logical troubleshooting, follow-through and problem-solving skills, resourcefulness, attention to detail, and communication skills Preferred candidates for this position should also have: Certification in one or more of Amazon Web Services (AWS), Google Cloud Platform (GCP), or another cloud providers The base pay range for this position in the state(s) above is $115,800 to $212,300 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. About Tencent Cloud International: Tencent Cloud International (TCI) is responsible for promoting the company's oversea cloud and industry Internet strategy. TCI explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, media services, and network security. While driving the digitalization of Gaming, Financial, OTT & Media, Web3, Education, and other industries, TCI helps companies serve users in smarter ways, building a new oversea ecosystem of intelligent industries that connect users and businesses.

Role: Data Governance Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. • 2 - 5 years of Data Quality Management experience. • Intermediate competency in SQL & Python or related programming language. • Strong familiarity with data architecture and/or data modeling concepts • 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities • Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. • Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. • Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. • Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. • Collaborate with and influence product managers to ensure all new use cases are managed according to policies. • Influence and contribute to strategic improvements to data assessment processes and analytical tools. • Responsible for monitoring data quality issues, communicating issues, and driving resolution. • Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. • Subject matter expertise on multiple platforms. • Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any • Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. • Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. • Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $120,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

*Applicants MUST be authorized to work in the U.S. We are unable to Sponsor or take over Sponsorship of an Employment and/or Student Visa at this time or any time in the near future for sponsorship. Summary of This Role Responsible for overseeing Application systems, architecture, design, data workflow, logical processes, and system interfaces. Assure synergy between software and hardware architecture to maximize that relationship. Determine and develop architectural approaches and solutions, conduct business reviews, document current systems, and develop recommendations on how to proceed with the applications. With a strong emphasis on microservices architecture, APIs, and cloud-native technologies, this role ensures security, scalability, reliability and cost optimization across the platform. As a key contributor, the Senior Solution Architect will collaborate with stakeholders to deliver high-performance solutions that meet business goals, ensuring long-term success through strategic alignment, robust architecture/design, and ongoing optimization. What Part Will You Play? Collaborates with clients and other functional areas in the design of IT Roadmaps to illustrate architectural complexities and interactions of information systems. Analyzes, refines and documents the business requirements of the client. Analyzes existing systems to detect critical deficiencies and recommend solutions for improvement. Plans and designs information systems and implements updates within scope of established guidelines and objectives. Researches new technological advances to assess current practices for compliance with systems requirements. Recommends solutions to address current system needs, process improvements and controls. Assists in the Request for Proposal (RFP) and vendor selection process. Makes recommendations for future information system needs. Provides technical architecture and support across applications and guidance to other functional areas to define software/hardware requirements and in planning and delivering infrastructure. Analyzes infrastructure and capacity planning. Employs a thorough knowledge of required procedures, methodologies and/or application standards, including Payment Card Industry (PCI) and security related compliance to write or modify software programs to include analysis, writing specifications and code, program installation and documentation for use with multiple application/user database systems. Maintains information systems by configuring software and hardware, tracking errors and data movement, and troubleshooting. Solicits and incorporate feedback from internal customers and IT teams to ensure solutions are aligned with user needs and business objectives, driving customer satisfaction and operational efficiency. Leads by example in adopting best practices for secure, high-performance architectures, and serves as a trusted advisor for both technical and non-technical stakeholders. What Are We Looking For in This Role? Minimum Qualifications Bachelor's Degree in Computer Science or equivalent 8+ years experience in architecture and design 5+ years experience in software development in Java/Kotlin/C# 5+ years experience in microservices architecture and APIs 3+ years experience as a Team Lead In-depth knowledge of application security best practices Experience in building highly available systems Experience with databases and queries Experience with multi-threading and concurrency Preferred Qualifications Masters Degree in Computer Science or equivalent Experience in Google Cloud Platform (GCP) Experience with Kubernetes What Are Our Desired Skills and Capabilities? Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Capable of navigating and overcoming barriers such as cross-departmental and peer reviews. Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside their own area of expertise. Leadership & Supervision - Takes ownership of defining methods and procedures for new assignments and ensures successful execution. Acts as a team lead, coordinating the activities of other personnel and fostering collaboration to meet objectives efficiently.

OTR Solutions is an innovator in the transportation industry providing a suite of supply chain financial products including factoring, fuel, and business management focused solutions. We help new and established companies get fast access to the funds they need for daily operations. As a Private Equity backed FinTech company, we are looking to grow our best-in-class financial organization. We continue to evolve our Cloud-Native platform that will drive the next wave of innovation in the industry and fuel OTR's growth. We are looking for growth minded, collaborative technologist who love to create, innovate, and learn cutting-edge solutions on the latest and greatest technology. OTR has been recognized as a “Top Workplace” by the Atlanta Journal-Constitution since 2016! The Salesforce Architect will own the strategy, design, and delivery of scalable Salesforce solutions that align with OTR Solutions' business goals. This role blends technical leadership with a product management mindset-collaborating across Sales, Marketing, Underwriting, and IT teams to translate business needs into robust, integrated Salesforce capabilities. Please note: We do not sponsor work-related visas.** Responsibilities: Own and evolve the Salesforce platform architecture and roadmap to support business initiatives Lead solution design and technical oversight throughout the Salesforce implementation lifecycle, including discovery, development, integration, testing, and deployment Collaborate with cross-functional teams to translate complex business requirements into scalable Salesforce solutions and integrations with ERP, data warehouses, and external systems Define and enforce Salesforce best practices for data modeling, security, automation, and deployment Develop and maintain documentation including user stories, process flows, technical specifications, and integration designs Facilitate demos and workshops to align stakeholders, gather feedback, and ensure successful adoption of Salesforce capabilities Stay current on Salesforce platform releases, tools, and emerging technologies to drive continuous innovation What we look for: 5+ years' experience working in Agile/Scrum environments delivering Salesforce or enterprise cloud solutions Strong technical understanding of Salesforce architecture, integrations, and data management (certifications preferred but not required) Proven ability to work effectively with technical teams, product owners, and business stakeholders Skilled in writing clear user stories, defining acceptance criteria, and managing solution delivery Strong communication, problem-solving, and organizational skills with a balance of technical depth and business acumen Bachelor's degree in Computer Science, Engineering, Business, or related field Perks and Benefits: OTR provides a competitive, comprehensive compensation package for our full-time employees: Paid Certifications Certification Bonus Eligibility for Individual and Company bonus programs Medical, Dental, Vision, Life/ AD&D Insurance, Short-Term Disability Pet Insurance, Paid Family Leave, Employee Assistance Program Fully Paid Maternity Leave 401(k) with Company Matching Generous PTO, Sick/Mental Health Days, Flex Holidays + Company Paid Holidays Travel Stipend to support Work Life Balance Leadership Development and Training Continuous Learning + Professional enhancements Weekly Catered Lunches + Casual Dress Code Company Paid Fitness Membership Volunteer Days and Opportunities with Company-Partnered Charities Internal Inclusion programs OTR's mission is to create exceptional value for our clients by providing industry leading financing and back-office solutions. Three pillars that are crucial to supporting that mission are outstanding customer service, technology that creates efficiency for ourselves and our customers, and a culture that provides the opportunity for employees to achieve greatness. OTR Solutions is an Equal Opportunity Employer

If you have read my s before, this will be a refresher. For those of you who haven't read my s before, welcome to the party....I like to add a little humor, so you will see some comedy scattered in this . This JD is a revision of a previous MES Solution Architect role I had been working on for a while. Modifications were made to reflect changes in the need for this role. There is a stronger focus on Manufacturing Systems experience in tandem with experience working shop floor integration work. Allow me to introduce myself. My name is Tom. I am VP & Partner with a firm named RSM Solutions Inc. I have been recruiting technical talent for over 23 years and been in the tech sector since the 1990's. Due to this, I am going to be far more focused on 'fit' than anything else...a fit for you and a fit for the client. In addition, I am an actual live, breathing human...not a 'bot' creating a JD in 32 1/2 seconds. I realize that looking for work is about as fun as a root canal, so if I can make the process at least a little more clear and easier, I am glad to do so. As with a bunch of the roles I work on, social fit is really important. Here are some of those key social fit characteristics: These guys like to see longevity in the roles you held. If you have spent 1-2 years at each role you have held, we wont have a fit, unfortunately. They seek those kinds of individuals who have matured their skills - over time - in the roles that they have held. This environment is one that truly wants you to share your knowledge. You have been in environments and have experience that others on this team won't have...so, they really want to hear from you. If you have a 'better way', share it. Here is the Job Description This role is permanent and being done onsite Monday through Friday onsite in Orland Park, Illinois. After about 3 months, this role can work in a hybrid manner with 2-3 days a week. You will be traveling, realistically 25-35%. That travel to customer sites can be included in that 'onsite' time. I am only looking at candidates that are local to Chicagoland. If you are looking to relocate for this role, that is fine...but there are no relocation dollars available for thsi role. I can only work with US Citizens or Green Card Holders for this role. We are seeking what this firm is calling a 'MES Solution Architect'. Ideally, we are seeking candidates that have experience either with home grown MES's, or experience with MES's like GE Proficy, Rockwell Plex, FactorTalk, Siemens Opcenter, Oracle Cloud Manufacturing, Critical Manufacturing MES, AVEVA, Forcam, etc. However, if your experience is rather light when it comes to MES's systems, but you do have experience with shop floor integration tools, lots of shop floor & manufacturing experience, a solid understanding of manufacturing fundamentals (CNC machining, sheet metal fabrication, extrusions, castings, injection molding, etc), that could create a good fit. This role, however, requires strong systems integration and systems development experience with manufacturing systems. Here are some of the things you will be responsible for: In this role, you will be working with a small team of solution architects and working with that team to integrate this client's MES into their client's systems. Most of the companies you will be working with are manufacturing firms with employees of right around 500 employees or less. Conduct detailed workshops with customer subject matter experts to analyze and document manufacturing processes. Define and document functional and technical solutions required to implement an MES in the customer's environment. Lead MES configuration and implementation activities within clients' IT and manufacturing infrastructure. This will include training sessions, ongoing instruction and guidance and with users. Here is what we are seeking: At least 10 years of experience working with manufacturing firms with regards to shop floor integration and / or MES systems. Preference will be given to candidates with MES experience. From an integration standpoint, if you have experience with integrating shop floor systems with ERP's, WMS's, and QMS's that would be spot on with regards to what we are seeking. An absolute must is systems experience in shop floor and manufacturing integration (specifically discrete manufacturing vs process manufacturing). Experience working with manufacturing workflows, BOMs, system setups, production planning, and trace & tracking.

This role will report onsite in San Diego, CA. Remote or Hybrid in not available Target Range $185,000.00 /Yr. - $225,000.00 /Yr Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% Axos Bank is seeking an experienced Lead Enterprise Architect to inform and guide execution of our software development roadmap in support of Axos' strategy. The ideal candidate will have experience within Banking and/or Fintech, see the “big picture” and create architectural approaches for software design and implementation to guide the development teams across diverse financial services verticals. This role requires a deep technical background and excellent software skills, including demonstrable experience in designing software and processes. The goal is to provide a framework for the development of systems that result in high quality solutions that meet business needs, are highly scalable, modular, maintainable, extensible, and secure. Additionally, the ability to develop a unified vision and communicate that vision effectively at all levels of the organization from the developer through executive level is critical. Responsibilities: Design software architecture specifications that support the functional and non-functional requirements of the software solutions, such as usability, reliability, availability, modularity, interoperability, maintainability, testability, and security. Apply modern architecture principles and patterns, such as microservices, cloud-native, serverless, event-driven, reactive, domain-driven design, API-first, and DevOps. Leverage the latest technologies and tools, such as AI, machine learning, big data, Crypto, IoT, blockchain, and cloud services, to enhance the software solutions and create competitive advantages. Improve and enforce the software engineering standards, guidelines, methodologies, processes, and best practices Guide and mentor matrixed software engineering teams, including architects, developers, testers, and DevOps engineers, and foster a culture of collaboration, innovation, and excellence. Collaborate extensively with product management, business units, and technology teams to understand the customer needs, market trends, and business opportunities, and translate them into software solutions with competitive advantages. Research and evaluate new technologies, frameworks, libraries, and tools, and provide recommendations and guidance on their adoption and integration. Monitor and analyze the software performance, quality, security, and scalability, and identify and resolve any issues or risks. Document and present the software architecture, design, and implementation to the internal and external stakeholders, such as executives, customers, partners, and vendors Qualifications: Bachelor's degree or higher in computer science, software engineering, or related field 10+ years' experience in software engineering 5+ years' experience in software architecture and design Prior experience within Banking and/or Fintech Proven track record of designing, developing, and delivering complex and scalable software solutions for online and mobile applications, preferably for both B2B and B2C customers Expert knowledge and hands-on experience in various programming languages, frameworks, platforms, and tools, such as Java, Python, C#, .NET, Node.js, React, Angular, Vue, Flutter, AWS, Azure, GCP, Docker, Kubernetes, etc. Strong knowledge and experience in applying modern architecture principles and patterns, such as microservices, cloud-native, serverless, event-driven, reactive, domain-driven design, API-first, and DevOps Strong knowledge and experience in leveraging the latest technologies and tools, such as AI, machine learning, big data, IoT, blockchain, and cloud services, to enhance the software solutions and create competitive advantages Strong knowledge and experience in establishing and enforcing the software engineering standards, guidelines, methodologies, processes, and best practices, such as agile, scrum, kanban, code review, testing, continuous integration, continuous delivery, and continuous improvement Excellent leadership, communication, collaboration, and problem-solving skills Ability to work in a fast-paced, dynamic, and innovative environment Passion for learning new technologies, staying updated with the industry trends and best practices, and sharing knowledge with diverse technology teams

Data Scientist (Python / PostgreSQL / PyTest) Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities · Develop and deploy data science models and algorithms using Python. · Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. · Design and implement robust automated test suites using PyTest for data pipelines and models. · Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. · Collaborate with stakeholders to define data-driven solutions and business insights. · Optimize SQL queries and database structures for performance and scalability. · Integrate models into production systems with CI/CD pipelines and testing gates. · Ensure data quality, security, and compliance with enterprise standards. · Document methodologies, workflows, and maintain reproducibility of experiments. · Provide production support and troubleshoot data-related issues Required Qualification · 5+ years of experience in Data Science and Python programming. · Strong knowledge of statistical modeling, machine learning techniques, and data visualization. · Expertise in PostgreSQL (schema design, query optimization, indexing). · Proficiency in PyTest for automated testing and CI/CD integration. · Hands-on experience with Pandas and NumPy for data manipulation. · Familiarity with Git-based workflows and CI/CD tools. · Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any · Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. · Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). · Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). · Prior experience in BFSI domain. Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Interested candidates please share me your updated resume to *******************

8-15 years of experience in implementing AI/ML models in enterprise systems In-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models(Gemini, GPT etc). Experience leading and working with Agentic AI Frameworks(Langchain, Langraph, CrewAI) Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.) At least 5 years of relevant experience in design, development, and deployment of conversational bots Experience working with Observability tools like Prometheus, Splunk, Datadog & Grafana. Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Experience with web services integration Excellent troubleshooting and analytical skills in a complex, distributed environment. Excellent communication, presentation and collaboration skills. Self-starter with ability to work independently Experiment and Develop: Candidate will drive the end to end machine learning project lifecycle using best practices and well managed software delivery Lead the design and development of virtual assistants using Conversational AI platforms Leads efforts to foster innovative ideas for developing high impact solutions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML. Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage. Support and advise teams on best practices regarding LLM usage and Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction Understand the requirements and design the conversational flows. Develop Intent and Entities for chatbot TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Ma ternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commute r Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

First San Francisco Partners is a business advisory and enterprise information management (EIM) consultancy dedicated to helping companies leverage their data to improve strategic decision-making, reduce risk, create operational efficiencies and fuel unprecedented business success. Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data. Job Responsibilities and Duties We have an immediate opening for a Data Architect to who will have a hands-on role with responsibility to develop data architecture and modeling strategies, design, implement and support data architecture deliverables for multiple data integration, data management, data warehousing, business intelligence and analytics projects. They will also be able to deliver solid, extensible, highly-available data models and data environments that supports the current and future business and technical requirements. Develops and maintains architectures for the high-level data environments of the enterprise, at the reference, conceptual, and logical levels, ensuring that these align to overall business strategy Ensures that database and data storage technologies support the data management needs of the enterprise Develops, communicates, supports, and monitors compliance with Data Modeling standards Evaluates proposals for development projects to ensure they adhere to all data architecture standards Develops and maintains standard patterns for data layers, data stores, and utility data management processes (e.g. data movement, data integration) for application across the enterprise Assists development projects, either directly or indirectly by liaising with a solution architect, to ensure that good data architecture is implemented in these projects. Evaluates currently implemented systems to determine their viability in terms of data architecture Participates in the oversight of setting data standards, for reference data, data formats, and similar needs. Identifies standard metadata for describing data assets. Develops standards for the semantic needs of data, including different kinds of models (e.g. subject areas models, data classification schemes, standards for ontologies). Ensures all documentation for data architecture is of high quality and properly curated Skills and Qualifications: Excellent communication skills, presentation and interpersonal skills are required. Ability to communicate clearly with both business and technical resources. A demonstrated track record of making a difference and adding value Strong organizational skills. Able to multi-task Ability to think creatively, highly-driven and self-motivated Ability to work and adjust to changing deadlines Ability to quickly adapt to changes, enhancements and new technologies Able to perform in a fast paced, dynamic and innovative work environment and meet aggressive deadlines Creative problem-solving skills. Must be able to develop relationships across the organization, working cross functionally to get results Ability to present complex information in a simplified fashion to facilitate understanding Can effectively manipulate and analyze large amounts of data The ability to understand data relationships, write and execute SQL queries Proficient with MS Office products Proficiency with SQL Bachelor's degree in Bachelor's Degree in Business Administration, Computer Science, CIS or related field 3-5 years of experience with data projects Addition qualifications: Experience with data and enterprise modeling tools, such as Erwin. Experience with ETL/Data Quality tools such as Informatica IDQ and Trillium Technical expertise with analytical tools including SQL, SAS, SPSS, R, and Tableau preferable. 3+ years or more years of experience in design, development, modification and testing of Hadoop solutions. Experience in Oozie, Hive, Pig, Impala, Sqoop, Flume, Hbase & Solr a plus. Minimum 7-10 yrs. of experience in Oracle databases 5 or more years of experience in developing complex SQL queries using tools such as Oracle, MySQL. Understanding of Pentaho or other ETL tool. Experience with RedHat Enterprise Linux preferred. Experience with designing, developing, and administering SQL Server databases 3+ years of experience with developing databases in an Agile framework with constantly changing technical requirements 3+ years of experience with designing, developing, and administrating a data warehouse preferred. 3+ years of experience with designing, developing, and administrating Microsoft Access databases 3+ years of experience with t-SQL and writing stored procedures, functions, and triggers. 1+ years of experience with migrating a Microsoft Access database to a Microsoft SQL Server 1+ years of experience with connecting a Microsoft Access front end to a Microsoft SQL Server back end Experience with NoSQL, including Mongo DB, Neo4j, Cassandra, or others. Experience with at least one scripting language, including Python, Perl, or others

Must Have Technical/Functional Skills * Vision and Strategy: Define and lead the vision, strategy, roadmap for data platforms (data lakes, warehouses, governance, data quality, observability etc.), aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI * Enterprise Data Model Development: Rapid delivery of design and development of data model (functional, logical, physical) in advanced cloud-based solutions such as AWS based Databricks platform ensuring seamless data integration, quality, compliance and security. * Data Engineering: Map out the existing legacy Data warehouses in developing an enterprise level data model that can fit in medallion architecture Lakehouse platform for supporting current and future GenAI analytics needs. Salary Range: $80,000-$150,000 a year #LI-CM2

10+ years of experience in enterprise architecture with a focus on data platforms. Hands-on experience with AWS services including EMR, S3, Glue, Lambda, and Redshift. Proficiency in Databricks for data engineering and analytics workloads. Strong knowledge of Snowflake architecture, performance tuning, and data sharing capabilities. Experience with data lake and lakehouse design patterns. Familiarity with data modeling, ETL/ELT pipelines, and real-time data processing. Excellent communication and stakeholder management skills. Preferred Qualifications: AWS Certified Solutions Architect or equivalent certification. Experience in regulated industries such as finance, healthcare, or manufacturing. Knowledge of DevOps practices and CI/CD pipelines for data workloads. Experience with data cataloging and metadata management tools. Base Salary Range: $120,000 - $150,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Titan is an award-winning wealth manager with a mission to increase our generation's compound growth rate. We plan to do this by putting a human wealth advisor in every pocket. Historically, wealth managers have been accessible to only the ultra-wealthy. With Titan, they're available to everyone. We harness frontier technologies like artificial intelligence to build a platform that gives advisors superpowers, enabling them to serve clients they historically never could. Backed by a16z, General Catalyst, Sam Altman, and many others, we manage over $1 billion in assets for clients across the country. Why Join Titan For the right person, we believe Titan will be one of the most rewarding jobs they ever have. Ambitious Vision: When we put private wealth management in every pocket, we'll make a legacy-defining impact in growing our generation's wealth to new heights. Critical Why Now: The advent of LLMs unlocks our vision to democratize personalized wealth management for everyone. This drives our urgency every day. Disproportionate Impact: We're still at the beginning of our journey with a small team, which means your impact at Titan will disproportionately matter. Vibrant In-Person Culture: We thrive on being a high-touch team, working together in the trenches in person (you'll see our founders in office every day). Compensation: Titan offers competitive cash compensation and well-above-market equity packages because we want every team member to be an owner. World-Class Investors: We're backed by top investors who share our bold vision, including a16z, General Catalyst, Y Combinator, and Sam Altman. Role Overview The Data Analyst role sits at the heart of how we make decisions, measure progress, and uncover opportunity. Your mission is to transform raw data into clarity, building the systems, tools, and insights that guide strategy across the business. This isn't just about dashboards or reports, it's about architecting the flow of information that fuels every team, from Product to Finance. You'll design and maintain the pipelines and models that power our analytics stack, ensuring our data is not only accurate and accessible, but deeply actionable. You'll operate at the intersection of engineering precision and business intuition: comfortable writing complex SQL one moment, then distilling findings into a clear narrative for leadership the next. You'll push the organization toward a truly data-driven culture, one where insights are timely, trusted, and tied to real impact. What You'll Do Design and maintain ETL workflows that move and transform data between multiple systems to power business intelligence dashboards. Work extensively with Redshift to model and optimize data structures for reporting and analytics. Translate and work with NoSQL data sources, ensuring smooth integration with other data platforms. Build, automate, and monitor data pipelines using tools like Fivetran, Hightouch, Segment, and Stitch. Collaborate with business teams - including Finance, Product, and Operations - to identify data needs and transform business questions into analytical solutions. Support financial reporting and analytics by applying your understanding of accounting and finance-related concepts. Create and maintain dashboards in tools such as Omni, Mode, and Mixpanel, ensuring teams have accurate and timely visibility into KPIs. Partner with engineering to ensure data consistency, documentation, and governance across systems. Advocate for and contribute to the development of a data-driven organizational culture. Qualifications Must come from a startup, fintech, or similarly fast-paced, high-growth environment. Strong proficiency in SQL, with a deep understanding of data modeling, query optimization, and performance tuning in Redshift. Experience designing and maintaining ETL workflows that connect multiple data sources and ensure data integrity. Comfortable working with NoSQL data and integrating it into analytics pipelines. Familiarity with AWS ecosystem services and best practices for data storage, transformation, and access. Scripting experience (e.g., Python, SQL scripts) and familiarity with version control (e.g., Git). Skilled at working with cross-functional teams to identify business opportunities and deliver measurable impact. Experience analyzing and visualizing finance and accounting data preferred. Strong communication and data storytelling skills - able to make complex analyses clear and actionable. Technologies We Use Redshift • Omni • Mode • Fivetran • Hightouch • Zapier • Segment • Stitch • Fullstory • Mixpanel

Must Have Technical/Functional Skills Cloud Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. Partner with Key Roles (Business and Technology) to shape the Cloud Data & Analytics strategy, provide hands on guidance to convert the strategy to architecture/Solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits) and actionable plan. Furthermore, shape large Data and Analytics opportunities for TCS. Prior experience in Banking Financial and Insurance combined with strong articulation skills, strategic Thinking exposure, Leadership traits, Strong business acumen, Customer focus, Social are essential. Must Have skills : Cloud Data Architect, Snowflake, demonstrate hands-On on Databricks (Delta Lake, Unity Catalogue), Five Tran, DBT. On Data front Hands on in Data Quality, Data Governance, MDM and Data Modeling (Data Products, Data Mesh, Data vault) Roles & Responsibilities * Strong experience in Cloud Data Architecture and Roadmap and effectively engaging various client Stakeholders on the architecture proposition. * Strong experience in Solution Architecture (Data & Analytics) * Must have prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. * Must demonstrate knowledge of data architecture patterns * Strong cloud architecture expertise (Azure, AWS, GCP) across large project with minimum 2-3 years experience in doing cloud projects * Strong solution implementation experience (platform engineering, developer experience) * Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, dimensional data modelling and a variety of data models including data vault Demonstrated experience across different data platform such as Databricks (Delta Lake, Unity Catalogue), Snowflake, FiveTran, dbt, Data Virtualization tools * Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects * Lead transformation effort for Large opportunities i.e. build strategy and multi-year Transformation roadmap for our customers * Strong ability and experience in engaging with both technical and non-technical stakeholders * Strong teaming, communications and analytical skills * Dedicated, resourceful and able to work under pressure * As part of Presales support, should be able to shape large multi-million value Deals both proactive and reactive by driving TCS positioning with customers and build business for TCS * Develop Point of views, solution approaches & pitches for new opportunities * Define Data and Technology Architecture and patterns on * prem/hybrid/Cloud using native and other partners/tools with recommendations that suits customer's context and objectives * On Data front strong in Data Governance, MDM and Data Modeling * Drive and Participate in Architecture reviews both internal and client teams * Oversee data management, warehousing, integration, data movement, and delivery across assigned data initiatives. * Examine data, processes, and technologies to determine the current state and critical problems of Customer's data and analytics journey * Research and make recommendations for training, equipment, and technology to improve data use * Build connect with Client's Senior Leadership CXOs/D&A Heads and work with them to develop clear Data and Analytics Strategy and Architecture that supports their business goals and objectives. TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $160,000 - $180,000 a year

Mandatory Technical Skills * Proficiency in SQL & Python programming expertise * Experience with ETL tools and processes * Knowledge of data visualization tools * Understanding of machine learning and AI concepts * Experience with data integration and API technologies * Knowledge of data quality and master data management principles * Expert knowledge in Databricks platform and ecosystem * Strong data architecture and engineering expertise * Experience with big data technologies * Proficiency in cloud platforms * Understanding of data security and governance * Knowledge of data integration patterns * Experience with Delta Lake architecture Desirable Technical Skills * Strong understanding of database management systems (RDBMS and NoSQL) * Expertise in data modeling, ETL/ELT processes, and data integration tools. * Expertise in data modeling and design * Knowledge of data warehousing concepts and methodologies * Experience with cloud-based data solutions (AWS) * Familiarity with big data technologies * Understanding of data governance and compliance requirements * Proven experience in enterprise architecture * Strong background in data platforms * Experience leading technical teams * Demonstrated expertise in solution architecture * Strong communication and leadership skills Job Responsibilities * Design and implement enterprise-wide data architecture strategies * Develop data models, schemas, and data flow diagrams * Develop data models and metadata standards to ensure consistency and accessibility across the organization. * Establish data governance policies and standards * Collaborate with stakeholders to align data architecture with business needs * Ensure data security, privacy, and compliance * Optimize data storage and retrieval systems * Lead data integration and migration projects * Provide thought leadership on emerging data technologies and trends * Provide industry-leading thought leadership in data architecture * Design and develop strategies across multiple domains * Lead enterprise architecture models and repositories * Facilitate development of architecture patterns and standards * Define roadmaps for current to future state capabilities * Collaborate with business partners on solution design * Bridge business needs with technology delivery * Work closely with engineering teams to implement ETL/ELT pipelines, data integration, and migration strategies TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assist ance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range-$100,000-$150,000 a year #LI-KR3