Principal Data Engineer, Data Products
Core
Design, develop, and industrialize high-complexity data pipelines and reusable data products for enterprise analytics and AI use cases.
Role type
Principal Data Engineer (Hands-on IC with team leadership)
Builds
Industrial-grade data products, scalable data pipelines, and data foundation services
Domain
Enterprise data engineering, Cloud infrastructure, IoT data landscapes
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, Cloud data engineering, Data product architecture, DevSecOps/DataOps, Team leadership, Technical mentoring, Cost optimization (FinOps), Complex enterprise data integration
Preferred skills
Databricks certifications, AWS certifications, Agile methodology expertise
Technologies
Databricks, Unity Catalog, Airflow, DBT, AWS Glue, AWS EMR, AWS Athena, Spark, Apache Flink, Apache Kafka, Terraform, Gitlab/Github, Python, SQL, Scala, Jira, Confluence
Responsibilities
Design and develop hands-on data engineering tasks for product teams; Ensure data pipelines align with industry best practices and architecture guardrails; Maximize reusability of design patterns and manage technical debt; Plan production operations, troubleshoot incidents, and optimize performance; Lead organization-wide capability development and advise business stakeholders; Lead and mentor a team of Data Engineers.
