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This role will be developing strategies to optimize our application data architecture design and our data governance practices for data products, to align capabilities roadmap across bank tech and the enterprise.
As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities.
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Evangelists, both internally 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 influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified 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 5 years of experience in data architecture
At least 2 years of experience building data applications in AWS
Preferred Qualifications:
Masters’ Degree
7+ years of experience using Python, Java, Go, and SQL
3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
1+ year of experience deploying machine learning models
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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