Own the technical roadmap for our data platform, balancing near-term delivery against long-term scalability.
Develop analytics and data accessibility solutions for internal engineering teams as well as external stakeholders.
Set a high bar of technical excellence for data quality, validation, governance, and observability across the data lifecycle.
Mentor and grow a team of analytics engineers and data engineering by guiding technical decisions, reviewing code and designs, and supporting career development.
Partner with engineering leadership on planning, prioritization, and headcount.
Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads.
Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities and influence build-vs-buy decisions.

Degree in Computer Science, Analytics, Engineering or a related field.
Management experience building and leading engineering teams is a must.
Extensive experience building and operating production data platforms, with a track record of technical ownership over major systems.
Proficiency with big data technologies (e.g., Spark, Hadoop, Hive, dbt).
Proficiency with workflow orchestration tools (e.g., Airflow, Argo Workflows).
Proficiency with multi-language build systems (e.g., Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).
Proficiency with cloud platforms (e.g., AWS, Azure, GCP).
Expertise in Python and Shell.
Expertise in SQL and/or SQL-like query languages.
Expertise in version control systems (e.g., Git).
Expertise in configuration languages (e.g., YAML, CUE).

Data Platform Engineering Lead

Key skills