Distinguished Engineer, Enterprise Data Platforms - Data Creation

• Full-time

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities:
Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name:
Capital One

Center 1 (19052), United States of America, McLean, Virginia Distinguished Engineer, Enterprise Data Platforms - Data Creation

Come join my teams in Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000’s of AWS accounts, tens of thousands of database instances and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners.

Distinguished 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.

• 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

• 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 inner source 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

• Bachelor’s Degree

• At least 7 years of Software Architecture or Enterprise Architecture experience

• At least 5 years of experience in software architecture and design patterns

• At least 5 years of AWS cloud experience

• Masters’ Degree

• Experience with developing strategy and implementing target architectures

• AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified

• 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience

• 7+ years of experience developing in Python, Java, Scala or Node

• 3+ years of rich experience in modern database technology evaluation and data modeling

• 3+ years of experience building data products and enterprise level data governance

• 3+ years of experience in building highly resilient distributed data systems

• 3+ years in data engineering including experience in distributed data pipelines and test data engineering

• 3+ years of experience dealing with large number of cross AWS account communications

• 3+ years of experience in Agile…