Snowflake Data Architect: AI-Ready Data Products

LTM; West Virginia; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering M

Short Term and Long-Term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Ho

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a data engineering professional to design Gold layer data models and data products for foundational aggregated consumer data across US operations. The role emphasizes Snowflake and Snowpark in building scalable, cost-aware data solutions.

You will collaborate with domain teams to translate business use cases into reusable data products, establish data quality lineage, governance standards, and enable architecture aligned with Medallion data design for high performance and

Qualifications

• Experience designing data products using Medallion architecture.
• Experience with regulated data (BFS) preferred.
• Strong knowledge of Snowflake, Snowpark and SQL.
• Ability to translate business use cases into data products.

Responsibilities

• Design Gold layer data models and data products.
• Define transformation patterns using SQL Snowpark and standards.
• Drive performance, cost optimization and scalability in Snowflake.
• Establish data quality, lineage and governance standards.
• Enable AI Cortex-ready data products.
• Collaborate with domain teams to translate business use cases into data products.

Skills

Snowflake

SQL

Snowpark

Data modeling

Data product design

Medallion architecture

Performance tuning

Data governance

Job description

LTIMindtree is seeking a data engineering professional to design Gold layer data models and data products for foundational aggregated consumer data across US operations. The role emphasizes Snowflake and Snowpark in building scalable, cost-aware data solutions.

You will collaborate with domain teams to translate business use cases into reusable data products, establish data quality lineage, governance standards, and enable architecture aligned with Medallion data design for high performance and