Senior Data & Platform Engineer -- Richardson, TX -- Only GC, USC -- In-person

[premalatha velu]

Role: Senior Data & Platform Engineer

Location:  Richardson, TX  In-person interview

Need GC,USC only

Responsibilities:

• Snowflake engineering: Design schemas, write performant SQL, manage roles & warehouse sizing, and implement change management practices.
• ETL / ELT development: Build and maintain pipelines that ingest from diverse sources (APIs, databases, event streams) and normalize data for BI and downstream consumers.
• AI agent development: Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows.
• Backend & API connectivity: Develop backend integrations with internal and third-party systems via REST APIs and backend services.

Required Skills:

• Snowflake — Hands-on experience building and optimizing data models, writing advanced SQL (PIVOT, GROUPING SETS, ROLLUP/CUBE), and managing Snowflake environments in production.
• Multi-source integration — Proven ability to connect and ingest data from heterogeneous sources including relational databases, REST APIs, SaaS platforms, and event streams.
• ETL / ELT design — Experience designing normalized schemas and transformation pipelines that produce clean, consumption-ready data models (star/snowflake schema, dimensional modeling).
• Python — Strong proficiency in Python for data engineering tasks: pipeline orchestration, data transformation, API clients, and scripting automation.
• AI agents within Snowflake — Familiarity with Snowflake Cortex, LLM functions, and agent-based patterns for building intelligent, data-driven workflows inside the Snowflake ecosystem.
• Backend integration patterns — Practical experience building backend services and integrations using Python, REST APIs, and related tooling (authentication, pagination, error handling, retry logic).

Additional skills:

PostgreSQL & relational databases — Working knowledge of PostgreSQL or equivalent RDBMS, including query optimization, indexing, and schema design patterns.

Go (Golang) — Experience building backend services or microservices in Go is a strong differentiator.

Cloud data infrastructure — Familiarity with Azure or AWS data services (e.g. Azure Data Factory, Event Hubs, S3) as source or orchestration layers.
Data observability & testing — Experience with data quality frameworks, dbt tests, or observability tooling (Great Expectations, Monte Carlo, etc.).

Mohan

Manager 

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Prema 

Admin

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