Cardlytics logo
Cardlytics

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

Principal Software Engineer, Tech Lead – Platform

Platform EngineerPlatform EngineerFull TimeRemoteSeniorTeam 201-500Since 2010H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

0

Seniority

Senior

Bachelor Degree7 yrs expEnglishAWSCloudETLPySparkSparkSQLTerraformUnity

Job Description

Principal Software Engineer, Tech Lead – Platform

Cardlytics

• Design and evolve the Cardlytics next-generation architecture; establish reference architectures and standards for batch, streaming, ML, and AI/agentic workloads • Build out the semantic layer, feature store, and data ontology that make Cardlytics data consumable by AI/agentic applications; enable governed, self-service access for both human and machine (LLM/agent) consumers • Serve as the primary technical partner for analysts, engineers, and business users; develop self-service guides, onboarding materials, and best-practice documentation to reduce friction across all user groups • Set technical direction for the platform and mentor engineers across the data and platform teams; drive engineering excellence and best practices, and manage the vendor relationship • Define monitoring standards and SLAs, lead performance tuning for Spark jobs, open table formats (e.g. Delta, Hudi), and SQL query engines; own incident response and root-cause analysis • Drive adoption of a unified governance layer (e.g., Databricks Unity Catalog) for centralized RBAC, column-level security, data lineage, and metadata management; implement and maintain security best practices including encryption and audit logging • Define the operating model and guardrails for the managed lakehouse platforms (including Databricks on AWS) — compute policies, access model, catalog structure, and cost governance — with day-to-day administration executed by the platform and domain teams working within those standards • Own the CI/CD strategy for lakehouse and data platform deployments (Terraform, GitHub Actions, and platform-native packaging such as Asset Bundles); enforce DevOps practices across engineering teams

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 leading industry platforms, frameworks, and tools: Databricks, AWS EMR or similar, Delta Lake, Unity Catalog, Spark (PySpark), and SQL; with a solid understanding of compute/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, such as Terraform
  • Demonstrated experience supporting diverse stakeholder groups including analysts, engineers (including 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 (like gym memberships, home down payments, art classes, park passes, and more!)
  • Complimentary Calm app subscriptions to support employee mental health and wellbeing

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