Senior Solution Architect

Tata Consultancy Services; New York (NY); On-site; USD 160,000 - 180,000; Full time

Job summary

Tata Consultancy Services is seeking a Senior Solution Architect to drive cloud-native Data & AI architectures for Banking, Financial Services, and Insurance clients in the US. You will translate business needs into scalable data platforms, guide PoCs, and lead delivery teams to implement modern data products and governance.

Responsibilities include end-to-end design, technology selection, data modeling, and client-facing solution leadership to ensure measurable value and regulatory compliance.

Qualifications

• 15+ years in data architecture, engineering and analytics platforms.
• Deep experience with cloud services (AWS, GCP, Azure) and data tools.
• Hands-on data lakehouse architectures, data mesh and Medallion patterns.
• Proven BFSI transformation program involvement and senior stakeholder handling.
• Experience crafting architecture for data products and governance.
• Proficiency in PoC demos, client presentations and option triage.

Responsibilities

• Lead workshops with client stakeholders to shape Data & AI use cases.
• Design end-to-end cloud-native data & AI architectures and pipelines.
• Ensure scalability, security, and regulatory compliance in designs.
• Select tech stack and data warehouses (Snowflake, Databricks, BigQuery).
• Develop data models and enable enterprise reporting and BI.
• Govern data privacy, metadata, lineage and data quality practices.
• Provide pre-sales support, solution overviews and delivery plans.
• Mentor junior architects and promote reusable accelerators.
• Drive enterprise data platform modernization from on-prem to cloud.

Skills

Data architecture

Data engineering

Analytics platforms

Cloud platforms

Snowflake

Databricks

Open source data tools

BFSI domain experience

Proposal & pre-sales

Stakeholder leadership

Tools

Snowflake

Databricks

AWS

GCP

Azure

dbt

Iceberg

BigQuery

Kafka

Job description

Senior Solution Architect (Data & AI Solution Specialist)

Must Have Technical/Functional Skills

A senior Solution architecture specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions – leveraging modern data & AI platforms and AI/ML services on cloud – and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution.

Must Have Skills

• 15+ years of experience in data architecture, data engineering, and analytics platforms
• Experience across AWS, GCP, Azure, Snowflake, Databricks, Iceberg, dbt and Open source tech based data services with depth expectations as below:
• Deep experience on one more of AWS, GCP, Azure
• Deep experience in Snowflake or Databricks with usage of open source extensions like Iceberg, dbt
• Experience in open-source technologies based Enterprise Data architecture
• Strong consulting experience in large BFSI transformation programs
• Hands on experience with preparation for Data Analytics Solution architecture, client presentations and Proof of concepts development
• Design and implement AI and Gen AI solution for data value chain
• Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation
• Strong background in data integration, reporting, and big data ecosystems
• Experience working in regulated environments with data governance and compliance requirements
• Excellent stakeholder communication and leadership skills

Roles & Responsibilities

• Client Consulting & Opportunity Shaping: Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernization, advanced analytics, AI/ML, and regulatory compliance. Translate business objectives (e.g. enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches.
• Solution Architecture & Design: Develop end-to-end cloud-native data & AI architectures – spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms. Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards.
• End-to-End System Design: Mapping out the precise technical lifecycle of data, including pipeline orchestration, data warehousing, and API integrations
• Technology Selection: Vetting and selecting the optimal tech stack, such as specific cloud services (e.g., AWS, Azure, GCP), data warehouses (e.g., Snowflake, BigQuery), or streaming engines (e.g., Kafka)
• Data Modeling: Designing detailed conceptual, logical, and physical data models (like Data Vaults or Star Schemas) to ensure optimal query performance and data integrity.
• Security & Governance: Baking strict data privacy, compliance (e.g., GDPR, HIPAA), and access control frameworks directly into the architecture.
• Consulting Leadership: Own the technical solution in Consulting opportunities and RFP responses. Write and present the solution overview, methodology, delivery plan, and value proposition. Quantify business benefits (e.g. faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates. Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities.
• Demonstrations & Proof of Concept (PoC): Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value. Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence.
• Collaboration & Handover: Work closely with internal teams – sales, delivery managers, domain consultants, and cloud partners – to ensure proposed solutions are deliverable and aligned with available capabilities. Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations. Provide early-stage support to resolve any design challenges.
• Thought Leadership & Best Practices: Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides.
• Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
• Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
• Design and implement AI and Gen AI solution for data value chain
• Design data integration pipelines (batch, real-time, big data) and analytics platforms
• Enable enterprise reporting and BI solutions for regulatory and business needs
• Define and implement data governance, quality, metadata, and lineage frameworks
• Act as a trusted advisor to senior business and IT stakeholders
• Participate in Data Analytics Architecture and Delivery reviews and provide recommendations
• Mentor junior solution architects and stay up to date with emerging cloud data technologies (e.g. Data Lakehouse, DataOps / MLOps, generative AI) to continuously enhance proposal quality.
• Mentor teams and contribute to solutioning and pre-sales activities

Salary Range

$160,000-$180,000 a year