Note: The job is a remote job and is open to candidates in USA. Digital Remedy is a performance media partner for agencies, brands, and media companies. As the Sr. Principal Data Engineer, you will architect the next-generation data platform, ensuring scalable and resilient integrations while overseeing data lakehouse architecture and managing production excellence.

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

Skills

• 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
• 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

Benefits

• Participation in a retirement plan
• Quarterly and annual incentive plan bonuses
• Life and disability insurance
• Health, dental and vision plans
• Flexible spending accounts
• 15 paid vacation days
• 2 paid personal days
• 9 paid holidays
• 40 hours of paid sick leave
• Parental leave
• Employee stock purchase plan

Company Overview