Distinguished Data Engineer (Marketing Technology)

Distinguished Data Engineer (Marketing Technology) Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. As a Director of Software Engineering within our AdTech organization, you will lead the technical strategy and architectural evolution of the platforms that power our most critical customer acquisition engines. This role is at the forefront of how we connect with millions of customers, overseeing the frameworks that drive high-volume conversions and support large-scale, multi-channel marketing initiatives. You will be responsible for expanding our AdTech destination strategy, scaling proven capabilities from our core credit card business to broader lines of business, including Bank and Auto Finance. Your work will ensure our marketing technology is unified, resilient, and prepared for the next generation of growth. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and p [... source excerpt omitted ...] and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and in [... source excerpt omitted ...] ied manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: Bachelor’s Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters’ Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years