Distinguished Engineer - Data Architect

Capital One
Loudoun County, VA
Sep 22, 2021
Sep 27, 2021
Full Time
1750 Tysons (12023), United States of America, McLean, Virginia Distinguished Engineer - Data Architect At Capital One, we believe in the values of excellence and doing the right thing. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale. "A cents € 1 Distinguished Engineers are 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 Leaders who gain the trust and confidence of those around them, from hands on engineers to executives Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. Distinguished Engineers will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries. This Distinguished Engineer will be a hands-on individual contributor and Data Architect within our Retail and Direct Technology organization - supporting Capital One Bank. They will be responsible for tackling our hardest problems, establishing patterns, collaborating across teams and lines of business, and bringing SME-level knowledge around Data Engineering and Architecture. This individual will need to see end to end across our banking organization and "A< oeput all the pieces' of our data ecosystem together to create modern, real-time, data solutions.Responsibilities:Innovative practices to bring data from producer to consumer and solving our most critical business problems in batch and real-time, making our most important customer decisions and driving our most critical data processes Demonstrates the highest level of hands on development and big picture architecture; able to mentor engineers and educate executives Design and develop cutting-edge solutions, using existing and emerging technology platforms Leverage sound judgment and problem solving to tackle some of Capital One's most critical problems and connect the dots to broader implications of the work Provide technical vision, technical solutions and directions to build complex and sustainable data ecosystem / platform Lead, manage and grow our data ingestion, data refinement and data consumption teams as an individual contributor/SME Design, develop, deploy and manage a highly reliable and scalable data pipeline Build/Modernize our data refinement/ETL processes Oversee the implementation of solutions for tracking data quality, data consistency and lineage. Embrace and incubate emerging technology and open source products across all platforms Collaborate with enterprise teams on developing and adhering to the company standards in terms of validation rules, nomenclature, design and deployments. Develop, demonstrate, and advocate data strategy at all levels from new engineers to senior executives Collaborate with internal teams to find areas of opportunities for automation and machine learning. Streamline the entire data ecosystem from end to end to ensure the most efficient , standard, privacy compliant processes possible. Establish best practices for data access that consider real-time and batch, security practices, and performance Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and ata lakes; data streaming (consumption/production), data in-transit 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 Build awareness, increase knowledge and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers) 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 (balance being a great coach and listener) Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible (always consider resiliency and impact; major focus on customer experience) 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 integrated mannerBasic Qualifications:Bachelor's Degree At least 7 years of experience in database management and data warehousing At least 5 years of experience developing in Python, Java, or Scala At least 5 years of Data Architecture and Data Modeling experience At least 5 years of experience working with Big Data At least 3 years of experience building real-time data products At least 3 years of experience working with Cloud technologiesPreferred Qualifications:Masters' Degree 10 years experience architecting and delivering software systems or platforms 10 years of data governance, data access, data lineage, data monitoring, and security controls experience 4 years of experience with AWS including EMR 4 years experience working with Docker 3 years of experience developing in Spark or Flink 3 years of experience developing enterprise data models 3 years of experience bringing real-time decision use cases to production 2 years of experience building and managing Kubernetes 2 years of experience building machine learning platforms and use cases Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.SDL2017

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