Distinguished Data Engineer

Company: Capital One
Location: Carol Stream
Posted on: November 16, 2021

Job Description:

Center 1 (19052), United States of America, McLean, Virginia Distinguished Data Engineer 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. 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 Data 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 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. 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 Defines the data architecture framework, standards and principles, including modeling, metadata, security, reference data and master data. Implements the reference data architecture to enhance their Data Ecosystem for real time, intelligent solutions and helps remove implementation impediments Defines data flows, from Producers to Consumers, how data flows are managed, and how data changes in transition and is secured at rest Basic Qualifications: Bachelor's Degree At least 7 years of experience in software or data engineering At least 2 years of experience in Data Architecture, Data Modeling, Data Monitoring and Security Controls At least 2 years of experience with cloud native development Preferred Qualifications: 10 years of experience in data governance, data access, data lineage, data monitoring, and security controls 5 years of experience with architectural patterns, building APIs, data pipelines, microservices, event streams, and high throughput systems 5 years of experience building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems 2 years of experience with AWS, EMR, Snowflake, Spark, Flink, EMR, Kafka, Glue 2 years of experience with developing enterprise data models Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 RecruitingAccommodationcapitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Keywords: Capital One, Carol Stream , Distinguished Data Engineer, Engineering , Carol Stream, Illinois