Data Platform Engineering Lead

Glydways is reimagining public transit to make it more accessible and sustainable. They are seeking a Data Platform Engineering Lead to set the technical direction of their data stack, develop analytics solutions, and mentor a team of engineers.

Responsibilities:

• 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

Requirements:

• 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)