Senior Data Engineer

I'm Scott Roberts, Senior Manager, Engineering at Teamworks. I lead the Data Platform team, and we're building the foundation that brings together athlete performance data, product telemetry, and the unique data sets we've accumulated through several acquisitions in the sports tech space. Right now, a lot of that data lives in disparate systems and original tech stacks. My team is changing that by building a modern lakehouse that becomes the default path for data flowing across our products. This is where you come in. I need a Senior Data Engineer to help lead this platform strategy, design the patterns that other teams will adopt, and make sure the data foundation we're building can support cross-product analytics, GenAI features, and the AI agents that are becoming core to how our products work. The work is highly visible, complex, and directly tied to capabilities that will show up on the field for athletes and coaches. The Role Own the design, implementation, and operation of production data pipelines that consolidate performance data and product telemetry into our lakehouse Lead architecture and infrastructure decisions for our lakehouse platform on AWS, including IaC in Terraform, schema design, and multi-tenant isolation patterns Drive data modeling for complex entities like time-series performance data, hierarchical org structures, and multi-source athlete profiles Build and document the reusable patterns, runbooks, and Terraform modules that let other product teams self-serve new datasets and integrations Raise the bar on platform reliability through observability, on-call rotation ownership, and post-incident learning that reduces toil and cost over time Partner with product and engineering teams to evaluate and evolve the platform's technology stack as the business scales into new environments Participate in our on-call rotation What I'm Looking For What You Must Bring 7+ years of data engineering or related experience, with strong Python proficiency for pipelines, transformations, and platform tooling Hands-on experience designing and operating lakehouse architectures (Delta Lake, Iceberg, or Hudi) and modern processing engines (Spark, Databricks, Trino, or Snowflake) Deep AWS experience (S3, IAM, Glue, EMR/Lambda, networking) with production-grade Infrastructure as Code in Terraform Strong data modeling and schema design skills, with experience modeling complex entities like time-series, hierarchical, or multi-source data, and designing integration patterns across products or systems (event-driven, API, batch) with attention to reliability and multi-tenant isolation Strong communicator who builds consensus across teams, writes RFCs and design specs, and values documentation as part of the craft Even Better If You've worked in the sports industry have intuition for modeling athlete and performance data You bring broader software engineering knowledge beyond data engineering and are fluent in integration patterns across systems You're AI-forward in your day-to-day, using tools like Claude or Cursor for spec-driven development, and you actively look for ways to apply AI in the SDLC and platform operations Why This Role Teamworks has grown through acquisition into one of the most interesting data positions in sports. The lakehouse you'll help build is what ties our data together across products, fuels our AI-powered features, and gives us a position in the industry no one else has. If you want to lead platform strategy with real organizational backing and see your work translate directly to outcomes on the field, this is that role. About Teamworks We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.