HYDERABAD · FULLTIME
Lead Snowflake Data Engineer
Anblick Solutions
Hyderabad · hybrid · Posted 70d ago
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About this role
Technical Lead - Snowflake (dbt) | Hyderabad, India | 10+ years
Anblicks is seeking hands-on Snowflake Technical Leads to drive build execution on enterprise data platform migrations. The role leads development teams converting legacy platforms to Snowflake with dbt, with full ownership of code quality, validation, and cutover execution.
Key Responsibilities
- Lead dbt model development standards, code review, and conversion of legacy logic to Snowflake.
- Implement validation and reconciliation frameworks; execute parallel runs and cutover windows.
- Mentor teams of 5 to 10 engineers; enforce engineering discipline and AI-assisted development practices.
- Tune performance and cost; coordinate with architects and QA on migration milestones.
Qualifications
- 10+ years in data engineering; 4+ years deep Snowflake + dbt.
- Has led build teams through data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.
- Strong SQL; orchestration (Dagster/Airflow) and AWS services preferred.
- MarTech datasets a plus. Leads and executes hands-on.
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About Anblick Solutions

Anblick Solutions
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About
Anblicks, a team of specialists in strategic dUnlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions. The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies. Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.
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