Tekmetric is a cloud-based platform aimed at helping auto repair shops thrive. The Senior Director of Data Engineering will drive the strategy, architecture, and execution of the data platform, focusing on building data foundations that support product features 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