Cardlytics logo
Cardlytics

Cardlytics (NASDAQ: CDLX) is an advertising platform in banks’ digital channels.

Principal Software Engineer, Tech Lead – Databricks Platform

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 201-500Since 2010H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

54 days ago

Salary

0

Seniority

Senior

Bachelor Degree7 yrs expEnglishAWSCloudETLPySparkSparkSQLTerraformUnity

Job Description

Principal Software Engineer, Tech Lead – Databricks Platform

Cardlytics

• Own day-to-day administration of the Databricks environment on AWS, including workspace configuration, cluster policies, user and group management, access controls, and cost governance. • Design and evolve the Cardlytics Databricks architecture; establish reference architectures and standards for batch, streaming, and ML workloads. • Drive adoption of Unity Catalog for centralized RBAC, column-level security, data lineage, and metadata management; implement and maintain security best practices including encryption and audit logging. • Monitor platform health, define SLAs, and lead performance tuning for Spark jobs, Delta tables, and SQL warehouses; own incident response and root-cause analysis. • Serve as the primary technical partner for Analysts, ML Engineers, and Business users; develop self-service guides, onboarding materials, and best-practice documentation to reduce friction across all user groups. • Own the CI/CD strategy for Databricks deployments using Terraform, GitHub Actions, and Databricks Asset Bundles; enforce DevOps practices across the team. • Lead and mentor a small team of data/platform engineers; provide technical direction, drive engineering excellence, and manage the Databricks vendor relationship.

Job Requirements

  • 7+ years of experience in data engineering or data platform roles, with at least 2 years in a technical lead or architecture capacity.
  • Deep, hands-on expertise with the Databricks platform: Delta Lake, Spark (PySpark), Databricks SQL, Unity Catalog, Workflows, and cluster management on AWS.
  • Proven experience designing and delivering Lakehouse architectures and large-scale ELT/ETL pipelines in production environments.
  • Proficiency in Infrastructure as Code tools, preferably Terraform.
  • Demonstrated experience supporting diverse stakeholder groups including Analysts, ML Engineers, and non-technical Business users.
  • Strong understanding of data governance, data modeling, and cloud security best practices.
  • Excellent communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences.

Benefits

  • Flexible paid time off plus company holidays
  • Medical, dental, and vision insurance begins on your first day
  • 401(k) retirement plan with company match, plan also includes a student loan debt repayment option
  • Employee Stock Purchase Plan
  • Educational assistance for continuing education
  • Lifestyle Spending Account for physical, emotional, and financial wellness
  • Complimentary Calm app subscriptions to support employee mental health and wellbeing

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