Senior Data Engineer
Core
Design, build, and optimize high-performance data pipelines and platforms powering analytics, dashboards, and AI models across the enterprise.
Role type
Senior Data Engineer
Builds
Scalable data ingestion, transformation, and delivery pipelines; lakehouse and warehouse architectures; MLOps feature stores and model registries.
Domain
Enterprise data infrastructure and AI enablement
Deliverable
production ML models
Required skills
Data pipeline engineering, ETL/ELT automation, cloud data architecture, MLOps lifecycle management, data quality and governance, CI/CD implementation, infrastructure-as-code, observability, cross-functional collaboration.
Preferred skills
Experience with lakehouse and warehouse optimization, natural language query integration, emerging technology evaluation.
Technologies
Airflow, Glue, Step Functions, Prefect, Databricks, Snowflake, Redshift, S3, EMR, Lake Formation, CloudWatch, Prometheus, Grafana.
Responsibilities
Design and maintain scalable end-to-end data pipelines; automate ETL/ELT workflows; develop and optimize lakehouse and warehouse architectures; build data foundations for forecasting and segmentation models; enforce data quality checks and governance compliance; implement CI/CD and Infrastructure-as-Code for pipelines.
Seniority
Senior, hands-on IC
