Lead Data Engineer

Responsibilities:

• Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL.
• Optimize Snowflake architecture at scale, design warehouse strategies, implement clustering and materialized views, enforce resource monitors, control costs, and tune performance across large datasets.

Qualifications:

• Deep hands-on experience with Snowflake, Airflow (MWAA), AWS, Python, and SQL in production environments.
• Strong ability to design, build, debug, and operate data pipelines at scale.
• Experience owning production systems with uptime and reliability expectations.

More about the role:

• Architect data platforms across dev, test, and production, design for disaster recovery, upgrades without downtime, automation that recovers from failure, and availability that supports business continuity.
• Lead technical planning and remove blockers, coordinate with Cloud, Security, Analytics, Data Science, and Product teams to resolve dependencies and keep delivery moving.