Director of Data Engineering
tekmetric • Remote (Eastern or Central Time Zones)
Posted: April 2, 2026
Job Description
What You'll Do
Tekmetric is looking for a Director of Data Engineering; you'll drive the strategy, architecture, and execution of our data platform. In this role you’ll be focused on building the data foundations that power our product and fuel our AI/ML capabilities. This is a hands-on leadership role: you'll grow a small, talented team while staying close enough to the work to make architectural calls and push code when it counts.
- 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.
What You'll Bring
- 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.
Additional Content
What You'll Do
Tekmetric is looking for a Director of Data Engineering; you'll drive the strategy, architecture, and execution of our data platform. In this role you’ll be focused on building the data foundations that power our product and fuel our AI/ML capabilities. This is a hands-on leadership role: you'll grow a small, talented team while staying close enough to the work to make architectural calls and push code when it counts.
- 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.
What You'll Bring
- 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.