Cloud Data Platform Lead: GenAI & Snowflake Expert

Tata Consultancy Services Limited

Jersey City (NJ)

On-site

USD 180,000 - 210,000

Full time

4 days ago

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Benefits offered by this job

Annual Incentive

Medical Coverage

Parental Leave

Insurance Options

Commuter Benefits

Training Reimbursement

Vacation & Holidays

401K & Bonus

Job summary

Tata Consultancy Services Limited in Jersey City, NJ, is seeking a Lead Data Platform Architect to design and govern cloud-native data platforms for Property & Casualty insurance. You will partner with Underwriting, Claims, Data Office, and Technology to translate business needs into scalable architectures leveraging AWS Glue, Snowflake, PySpark, and GenAI-enabled tooling.

Experience with migrating legacy data ecosystems to cloud-native lakes and warehouses, plus strong governance, data

Qualifications

Strong experience designing, implementing, and governing modern cloud-native data platforms using AWS, AWS Glue, Snowflake, and related cloud data services.
Proven expertise in Data Warehousing, Data Modeling, ETL/ELT architecture, data integration, data quality, metadata management, and scalable data pipeline design for enterprise analytics and operational workloads.
Hands-on experience developing and optimizing data solutions using Python, PySpark, Informatica, DataStage, AWS Glue, Snowflake, and related cloud-native data engineering technologies.
Leadership in architecting and delivering solutions on modern data platforms, including Data Lakes, Lakehouses, Cloud Data Warehouses, and real-time data processing ecosystems.
Strong understanding of Generative AI, Agentic AI, and AI-enabled engineering concepts, including practical application of GenAI across the SDLC, data engineering workflows, reverse engineering, migration acceleration, code generation, testing, documentation, and productivity optimization.
Familiarity with Insurance industry platforms and core systems, including Policy Administration, Claims, Billing, Underwriting, Data & Analytics ecosystems, and digital modernization initiatives.
Strong consulting, solutioning, and stakeholder management skills with the ability to work closely with data, cloud, architecture and business to define transformation roadmaps and deliver business value through data-driven solutions.

Responsibilities

Design, architect, and implement scalable, secure, and high-performance enterprise data platforms that support the evolving needs of the Property & Casualty Insurance business, including Underwriting, Claims, Billing, Actuarial, Finance, and Analytics functions.
Partner closely with business stakeholders, including Underwriting, Actuarial, Claims, Data Office, and Technology teams, to translate business objectives into scalable data architecture, engineering solutions, and actionable roadmaps.
Evaluate emerging data technologies; solution evaluations - Relevant technologies in current insurance data modernization efforts include AWS Glue, PySpark, Snowflake, GenAI agents, and modern data platforms.
Lead modernization of legacy data ecosystems and drive migration to cloud-native platforms, data lakes, lakehouses, and modern data warehouses leveraging AWS and related cloud technologies.
Define enterprise data integration strategies across core insurance platforms such as Duck Creek, and adjacent enterprise systems, while enabling seamless integration with third-party data sources and industry providers.