Senior Data Engineer

Pune, India, Remote. Posted a month ago

The role

You will migrate a production SaaS data platform from a legacy ETL/streaming-based pipeline to a Snowflake Native Application. This involves re-architecting ingestion, migrating legacy ETL logic, and designing for per-tenant isolation.

What you will do

Re-architect ingestion to move it natively into each customer's Snowflake account
Migrate legacy ETL logic into Snowflake-native pipelines
Design for per-tenant isolation using schema, pipeline, and secret-management levels
Work through technical debt including shared credentials and configuration issues
Rebuild the platform's core data model
Validate design against real production data patterns
Document migration decisions for internal and customer review

Required qualifications

5+ years as a data engineer with hands-on Snowflake experience
Real experience migrating an existing production ETL pipeline to a cloud-native target
Working knowledge of streaming and event pipelines
Comfortable reading and reasoning about a system's security model
Familiarity with a major cloud provider's function/PaaS services
Experience designing for multi-tenant SaaS data isolation

Nice to have

Experience building and distributing applications through a cloud data platform's own marketplace or listing model
Background in workforce analytics, activity monitoring, or similar behavioral/event data domains
Exposure to BI tooling migration alongside an underlying data platform move

Benefits

Shape real-world AI-driven projects
Global team with equal opportunities for collaboration
Inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards

About the company

Solvd Inc. is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. Following the acquisition of Tooploox, Solvd offers end-to-end delivery from strategic advisory to custom AI development.