Senior Distinguished Engineer (Enterprise data storage and consumption platforms) (Remote-Eligible)

Center 3 (19075), United States of America, McLean, Virginia

Senior Distinguished Engineer (Enterprise data storage and consumption platforms) (Remote-Eligible)

Sr. Distinguished Engineer - Enterprise data storage and consumption platforms

We are the  Data Storage, & Consumption platform team within the Enterprise Data at Capital One . By joining the team, you will lead technical initiatives to mature & grow the consumption platforms leveraged by all lines of businesses in Capital One.

 

These initiatives will delivering solutions for improving the consumption platform scalability, Operational Excellence, Performance & Resiliency 

Come join our team if you are self-driven, actively looking for ways to improve and mature platforms for Enterprise scale, and know how to drive technical strategy to get things done. You would need AWS infrastructure technical knowledge, Databricks platform expertise, Data Storage & Access and a sincere willingness to improve, inter-personal skills and dedicated focus on the tasks. 

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

Responsibilities:

• Have a software engineering/problem solving mindset being equally comfortable with deep diving on issues, hands on keyboard  and know how to build highly resilient operational platforms that can scale to 8K-10K users and  with 4 9’s availability 

• Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, distributed system computing patterns

• Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner by building proof of concepts, exploratory analysis. 

• Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization

• Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in

• Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible

• 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

• 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

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

• Bachelor’s Degree

• At least 9 years of experience in software engineering or software development

• At Least 3 years of experience with Databricks (administration and platform engineering)

• At Least 5 years of experience with AWS cloud platform 

• At Least 3 years of experience working with Big Data (Spark)  

Preferred Qualifications:

• 5+ years of experience with Big Data Technologies

• 5+ years experience architecting and delivering software systems or platforms  

• 3+ years of DevOps experience using AWS, Python, Terraform, Jenkins,  GitHub and Artifactory