Staff Data Platform Architect

We're looking for a Staff Data Platform Architect to lead the evolution of our core data analytics platform. This role is a high–impact opportunity to design and build our “next generation” data foundation.  You will be designing a platform built to ingest and process multiple concurrent data sources, support complex data fusion, and serve as the backbone for both our analytics and data science modeling initiatives.

This is a senior, hands-on “player coach” role. You will be the chief designer and technical authority, translating our future growth goals into a tangible, modular architecture.  You will define and build the “master blueprint” and modern data stack that our globally distributed team will use to build world-class, scalable, and high quality data products.  This blueprint must incorporate cutting edge, privacy preserving technology (e.g. Clean Rooms, Secure Multi-Party Computation) to handle sensitive data.

If you are a systemic thinker who thrives on designing elegant solutions to complex data challenges ranging from data fusion to PII and ML platforms, we want to hear from you!

Antenna is a remote-first company, and we are looking for candidates who can work during US business hours. Preferably, you should be based in a US time zone (Eastern, Central, Mountain, or Pacific). You will report to our VP of Engineering.

• Architect the “Next-Generation” Platform: You will audit our current GCP pipeline and design the ‘next-generation’ blueprint for a modular, scalable data platform capable of supporting Antenna’s ambitious growth goals.
• Own the Stack: Act as the hands-on “chief designer” and technical authority for our modern data stack.
• Solve Complex Data Fusion:  Design and systematize the architecture for complex, parallel data processing. You will design subsystems and collaborate on data models to solve advanced challenges like entity resolution and identity stitching.
• Implement Privacy-First Design: Architect out platform to handle PII and security from the ground up. You will lead the design and implementation of Data Clean Room technologies and other privacy-preserving techniques.
• Bridge Data Science to Production: Partner directly with data science to translate advanced behavior modeling and fusion needs into performant, reliable, and scalable production data models and architectures.
• Govern & Enable:  Decompose your architecture into clear subsystems, data contracts, and development tasks.  You will define and enforce the standards that enable our remote-first engineering team to build with quality and velocity.

• Experience: 10+ years in data-focused roles, with 5+ years in a senior architecture or principal-level role designing large-scale data platforms.
• Pipeline Builder: A demonstrable track record of personally designing, building, and optimizing complex, large-scale data pipelines from the ground up.
• Systemic Thinker: A proven ability to break down complex data problems into discrete, testable, and maintainable components.
• Data Science & Business Acumen: Ability to partner directly with data science to translate modeling and fusion needs into scalable, performant architectural solutions that align with product goals.
• Leadership & Communication: Exceptional asynchronous communication skills for a remote team and a passion for data quality, testing and security (including PII).
• Deep expertise in a major cloud ecosystem: Highly proficient in GCP or AWS and a modern data warehouse (BigQuery, Snowflake, etc.)
• Direct experience implementing data clean room technologies or differential privacy.

• Direct experience with Looker and designing optimised data models (LookML) to power BI.
• Workflow orchestration tools (e.g. Airflow, Cloud Composer)
• Data governance, data cataloging, and data lineage.
• Jira, Confluence, or similar tools for project management and technical documentation.

Total annual earnings range from $175,000 - $220,000. In addition, our incoming Staff Data Platform Architect is eligible for company equity. The final compensation will be determined after evaluating a candidate’s experience, skills, etc.