Develop, optimize, and maintain data pipelines and data platform components.
Implement data federation, semantic modeling, and governance frameworks.
Collaborate with Engineering, Analytics, and Product teams to deliver data assets.
Apply AI-driven tools to accelerate development and improve data quality.
Investigate and adopt emerging data technologies aligned with strategy.
Operate independently within distributed teams.

🎯 Requirements

Snowflake expertise (highest priority).
Kafka, Flink, Spark, and Airflow experience.
Semantic modeling and data governance (Cube); data federation.
Distributed systems and modern data engineering patterns.
AI tools to support data engineering workflows.
Strong communication and collaboration across remote teams.

🎁 Benefits

Equal opportunity employer.

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