Staff Data Engineer
Core
Technical leader for complex data engineering initiatives, designing and delivering scalable, secure, and high-performing data platforms, pipelines, and data products to enable enterprise analytics, AI, and business decision-making.
Role type
Staff Data Engineer (Technical Lead)
Builds
Enterprise-scale data platforms, data pipelines, semantic layers, and data products for analytical, operational, and AI workloads
Domain
Enterprise Data Engineering & Cloud Platforms
Deliverable
production ML models | product features | infrastructure
Required skills
Data Modeling, Data Architecture, ETL/ELT, Distributed Computing, SQL, Python, Java, Software Engineering Fundamentals
Preferred skills
Technical Leadership, Cross-functional Collaboration, Strategic Roadmap Definition, Mentorship
Technologies
Apache Spark, Flink, Hive, Kafka, PubSub, Google Cloud Platform, AWS, Azure, BigQuery, Databricks, Redshift, DBT, PySpark, Terraform, GitHub Enterprise
Responsibilities
Architect and implement enterprise-scale data platforms and pipelines; Establish engineering standards and best practices for data governance and observability; Lead end-to-end development of data products and semantic models; Mentor engineers and influence engineering culture; Partner with stakeholders to translate business priorities into technical solutions
Seniority
Staff, Technical Leadership & Strategy
