Sr. Principal Data Engineer / Data Architect

Location: United States (Remote)

Reports to: SVP of Tech

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.

Key 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.

Mandatory 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.

Preferred Qualifications

• 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.

Why Digital Remedy?

We are in a high‑growth phase, integrating innovative tech from recent acquisitions. You will have a seat at the table to influence our long‑term technical strategy and help us "build and scale" for the future.

Note that this position is not eligible for visa sponsorship, including employer sponsorship for an H‑1B visa, OPT‑STEM employment, or related programs.

Sinclair is proud to be an equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.

The base salary compensation range for this role is $131,250 to $175,000. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include 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, and employee stock purchase plan.