Senior Data Engineer

Key Responsibilities:

• Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools.
• Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines.
• Lead development of data models using Dimensional Modeling, Data Vault, or Lakehouse approaches.

Platform & Cloud Engineering:

• Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, and performance tuning.
• Work with cloud platforms (AWS, Azure, or GCP) to deliver high-performance, cost-efficient solutions.
• Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools.

Governance & Security:

• Establish and enforce data governance frameworks, access controls, and security protocols with Snowflake-native capabilities.
• Define and maintain data quality standards, lineage documentation, and compliance requirements.

Requirements:

• 5+ years of hands-on data engineering experience with deep Snowflake expertise.
• Solid knowledge of SQL and Python, plus experience with ELT/ETL and data modeling.
• Experience with at least one cloud platform in a data engineering context.