Tekmetric is a cloud-based platform that helps auto repair shops operate more efficiently and grow sustainably. They are seeking a Director of Data Engineering to lead the strategy, architecture, and execution of their data platform, focusing on building the data foundations necessary for their product and AI/ML capabilities.
Responsibilities:
- Own the data engineering roadmap, tightly coupled to Tekmetric's product vision and AI ambitions
- Lead, mentor, and scale a high-performing data engineering team
- Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark
- Build the pipelines and feature stores that feed directly into product features and AI/ML models
- Partner with Product and Engineering to identify where data and AI can create step-change improvements in the customer experience
- Design data architectures that support both analytical workloads and real-time, in-product data serving
- Champion data quality, governance, and observability across the organization
Requirements:
- 7–10 years in data engineering or data-focused software engineering, with 3+ years leading and developing engineers
- Deep expertise with Apache Airflow, Apache Spark, and AWS data services (S3, Redshift, EMR, Bedrock, Lambda)
- Strong SQL and Python skills; Java or Scala a plus
- Experience building data infrastructure that serves product features and AI/ML workloads — not just analytics and reporting
- A builder's mindset: excited to grow a team from the ground up while still rolling up your sleeves
- Equally comfortable in a product roadmap discussion and an architecture review
- Thrives in fast-paced, high-growth environments where priorities evolve quickly