
201 - 500 employees
Founded 2010
💳 Fintech
🤝 B2B
💰 $11.9M Series G on 2017-05
Fintech • Advertising • B2B
Cardlytics is a company that operates a digital advertising platform integrated into banks’ digital channels. This platform is designed to drive incremental sales and provide a comprehensive understanding of consumer spending behavior through purchase intelligence. Cardlytics helps marketers and banks by offering insights into consumer spend and trends, allowing for targeted marketing campaigns. The company collaborates with top banks in the US and UK to deliver personalized rewards programs to consumers, enhancing customer loyalty and digital engagement. Cardlytics effectively links advertisers with bank customers, utilizing purchase data to create impactful marketing strategies.
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201 - 500 employees
Founded 2010
💳 Fintech
🤝 B2B
💰 $11.9M Series G on 2017-05
Fintech • Advertising • B2B
Cardlytics is a company that operates a digital advertising platform integrated into banks’ digital channels. This platform is designed to drive incremental sales and provide a comprehensive understanding of consumer spending behavior through purchase intelligence. Cardlytics helps marketers and banks by offering insights into consumer spend and trends, allowing for targeted marketing campaigns. The company collaborates with top banks in the US and UK to deliver personalized rewards programs to consumers, enhancing customer loyalty and digital engagement. Cardlytics effectively links advertisers with bank customers, utilizing purchase data to create impactful marketing strategies.
• 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
• 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.
• 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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