Senior Principal Data Engineering Lead
Core
Lead and scale Data Engineering, DataOps, and Data Stewardship functions to deliver a cloud-native data platform enabling self-service analytics.
Role type
Senior Principal Data Engineering Lead
Builds
Cloud-native data platform (ingestion, transformation, modeling, operations) and trusted datasets for business domains.
Domain
Cloud data engineering and data stewardship
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud-native data engineering, AWS architecture, Team leadership, ELT/ETL pipeline design, Data quality frameworks, Data modeling (medallion architecture), CI/CD practices, Root-cause analysis, Vendor management
Preferred skills
Snowflake advanced features (Streams/Tasks, Cortex AI), Airflow orchestration, Python/SQL scripting, AWS SageMaker integration, Streamlit development
Technologies
Snowflake, Airflow, Python, SQL, AWS (S3, Lambda, KMS, CloudWatch, Sagemaker), Airbyte, Fivetran, Streamlit
Responsibilities
Recruit and mentor hybrid data engineering teams, Oversee design and optimization of ELT/ETL pipelines, Institutionalize data stewardship processes and ownership models, Manage daily pipeline operations and SLA compliance, Set engineering standards for observability and cost tagging, Enable self-service analytics by curating trusted datasets
Seniority
Senior, hands-on IC with leadership responsibilities
