If you have a bank account or a credit card, chances are good that you’ve seen our platform in action. By running the cash-back rewards programs for Chase, Bank of America, Wells Fargo and other financial institutions we place targeted, relevant, measurable ads in front of 130 million US consumers - more MAUs than Twitter, Pinterest, and Snapchat.
Cardlytics is the largest walled garden you’ve never heard of. We see one in every two card swipes across the US, covering $3.3T in purchases. This puts us in a unique position. We can help marketers predict consumer shopping preferences based on actual purchase data, and then use that data to reach bank consumers with offers they will love.
The Sr Architect, Data Engineering Role at CDLX will partner with product and dev teams to build a data platform that scales with our growing demands. This role will report into the VP Engineering, data at CDLX and lead architecture for teams in the US and India. This role will be accountable to lead and define the architecture for our data platform and how all teams across CDLX interact with it. This requires a strong understanding of the full product roadmap and how various products intersect with our data. To be successful in this role communication and the ability to articulate technical details to the broader organization are key.
Own architectural direction of the CDLX data platform serving in house analytics, data science and product engineering.
Work with cross-functional teams to ensure the data platform is meeting current needs and setup for future expectations
Evangelize the CDLX data platform with key internal stakeholders
Lead evaluation of future technology adoption for the data platform to ensure we are using the best tools for the job
Build robust data pipelines that collect, process, and compute business metrics using tools including Spark EMR, Kafka
A creative problem solver that understands business implications of technology decisions
Well versed in a variety of RDBS and Big Data technologies
Driven to build a world class data platform
A hands on architect that enjoys the intricate details of the problems and solutions at hand
You have experience in:
Building large-scale global data warehousing and analytics projects
Solving both streaming and batch processing needs for a high volume data organization
Treating Observability and Monitoring as a first class citizen that sits at the core of the architecture
Data Quality process and approach for large scale streaming and batch systems
Thinking outside the box to solve complex problems