Sr. Principal Data Engineer / Data Architect

Digital Remedy•Austin, TX

1d•$131,250 - $175,000•Remote

About The Position

As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient.

Requirements

Expert-Level Databricks: Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon).
The Stack: Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus.
Scale: Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred).
Independent Execution: Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision.
Experience: 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity.

Nice To Haves

Incident Management: A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages.
Context Switching: A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations.
FinOps & Communication: Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders.

Responsibilities

Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks.
Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines.
Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements. This requires the ability to multi-task across various high-priority workstreams without losing sight of architectural integrity.
Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production.
Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks.
Work with engineers across multiple geographies and time zones.