Establish technical architecture and platform standards for the AWS-based lakehouse, covering distributed cloud architecture, schema conventions, multi-tenant isolation, and integration design
Oversee design and implementation of production pipelines for consolidating performance and product data, and manage data modeling for complex entities to support products, analytics, and machine learning
Implement appropriate data governance, ownership, and stewardship to enhance data maturity, and build catalog and semantic-layer foundations for analytics, ML, and AI agents
Create and maintain the Data Platform playbook with reusable patterns, ADRs, runbooks, and Terraform modules, ensuring data quality and reliability for self-service by product teams
Lead end-to-end delivery from requirements and planning to coordinating workstreams and communicating status to senior leadership and non-technical partners
Mentor engineers at all levels, improve standards through design reviews and on-call ownership, and influence the platform roadmap as an engineering representative

10 or more years in data engineering or related roles, with advanced Python skills for pipelines, transformations, and platform tooling
Expertise in designing, operating, and guiding lakehouse platforms and modern processing engines at production scale, with strong decision-making and troubleshooting abilities
Advanced AWS and distributed cloud architecture experience, including S3, IAM, Glue, EMR/Lambda, and networking, with proficiency in Terraform and implementation best practices
Deep knowledge of data modeling and schema design for complex entities in multi-tenant environments, across various systems, and proven integration standards across teams
Experience in developing or significantly improving a data platform from vague objectives, including organizational alignment and communication with stakeholders through RFCs and ADRs
Understanding of data governance, ownership, and stewardship programs, with the judgment to apply them appropriately to increase data maturity without unnecessary complexity

Sports industry experience with lakehouse ingestion of multi-source performance data and modeling for products, analytics, and ML
Experience integrating legacy or acquired products into a lakehouse architecture
Software engineering expertise beyond data engineering, in platform-as-a-product environments with internal teams as customers
Familiarity with AI tools and a perspective on data foundations that enable AI agents to reason over data

This role is not eligible for sponsorship at this time.
The company is an equal opportunity employer valuing honesty, hard work, humility, commitment, innovation, and exceptional character.
Commitment to building a diverse and inclusive workforce without discrimination based on protected characteristics.
Non-discrimination policy applies to all employment practices including recruiting, hiring, promotion, termination, compensation, benefits, and training.
Reasonable accommodations available for candidates with disabilities during the hiring process; contact talent@teamworks.com to request.

This role is not eligible for sponsorship at this time.

Teamworks is hiring a Staff Data Engineer