Senior Principal Data Engineer / Data Architect

Job not on LinkedIn

🕒 March 5

🌲 North Carolina, Texas – Remote

🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $131.3k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GDS Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1993

🤝 B2B

🏢 Enterprise

📱 Media

B2B • Enterprise • Media

GDS Group is a global partner trusted by leading brands to drive pipeline growth and business transformation. The company specializes in creating engaging experiences and delivering valuable insights through events, pipelines, and connections. They have a strong presence among Fortune 500 companies, with a high conversion rate from leads to follow-up meetings. GDS also focuses on providing immersive experiences for senior executives through various channels, including articles, podcasts, and creatively produced content. Their services aim to maximize marketing budgets and deliver measurable returns for their clients.

📋 Description

• Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. • 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. • Work directly with the SVP of Tech to translate product roadmaps into technical requirements. • Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. • Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks.

🎯 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.

🏖️ 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