Senior Data Engineer
Core
Design, build, and maintain scalable cloud-native data lakehouse pipelines from raw ingestion to analytics-ready Gold tables, ensuring data quality and observability.
Role type
Senior IC data engineer (cloud data platform)
Builds
Cloud-native data lakehouse, ETL/ELT pipelines, Snowflake data warehouse objects, data quality dashboards
Domain
Cloud data engineering, Azure ecosystem, Snowflake
Deliverable
production ML models | product features
Required skills
Advanced SQL, Snowflake-native features, dbt, Elementary, Azure Data Factory, ADLS Gen2, Azure Key Vault, Azure Functions, Airflow, Python, Medallion architecture, SCD Type 2
Preferred skills
Snowflake Cortex, dbt Semantic Layer, Terraform, Bicep, Microsoft Fabric, data mesh concepts
Technologies
Snowflake, dbt, Elementary, Azure Data Factory, ADLS Gen2, Azure Key Vault, Azure Functions, Airflow, Python, Terraform, Bicep
Responsibilities
Design and build scalable ETL/ELT pipelines using Azure Data Factory and Apache Airflow; Implement incremental load patterns and CDC; Build and optimize Snowflake data warehouse objects; Develop modular, tested dbt models; Embed automated data validation using Elementary; Manage Azure Data Lake Storage Gen2 and Azure Functions; Translate business requirements into data models; Mentor junior engineers
Seniority
Senior, hands-on IC