Lead Data Engineer

Aziro Technologies Llc

United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Data Analysis Business Logic Information Engineering TypeScript ReactJS Snowflake Data Build Tool (dbt) Backend AngularJS Apache Kafka Front End Software Development

+2 more

Data Pipelines Legacy Systems

Requirements

Senior/Lead Data Engineer with strong hands-on Snowflake experience and broad exposure across the following areas:

Snowflake Data Engineering: Data engineering, pipeline development, and migration from legacy platforms to Snowflake.
Analytics Engineering / Data Modelling: Strong hands-on experience with dbt (data build tool), data modelling, transformation layers, testing, and documentation.
Backend & Integration: Backend development, APIs, Kafka, and experience working with Cycle Manager business logic/workflows.
Frontend Validation: Exposure to workflow/UI validation using React/TypeScript or Angular.
QA & Migration Validation: Experience with QA validation, data reconciliation, parallel-run testing, defect resolution, and final sign-off.

The ideal candidate should have broad, hands-on experience across these areas rather than being focused only on Snowflake/data engineering. We are looking for someone who can take end-to-end ownership of the migration, from understanding existing business logic and pipelines through development, validation, parallel runs, and production cutover.

Please prioritize candidates with strong Snowflake + dbt (data build tool)+ migration experience and verify the additional backend, Kafka, frontend validation, and QA/parallel-run exposure before submission. Recent Snowflake/dbt migration roles similarly emphasize hands-on pipeline migration, modelling, reconciliation, validation, and cutover ownership.