Distinguished Engineer, Data Architect (Risk Tech) Join to apply for the Distinguished Engineer, Data Architect (Risk Tech) role at Capital One Distinguished Engineer, Data Architect (Risk Tech) 15 hours ago Be among the first 25 applicants Join to apply for the Distinguished Engineer, Data Architect (Risk Tech) role at Capital One Get AI-powered advice on this job and more exclusive features. Capital One is looking for a Distinguished Engineer with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of a high performance data ecosystem that supports real-time, intelligent experiences to enable our Risk Management functions. In this role, you will help shape the Risk Management Data domains that will drive our journey towards standardized data assets and data products.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

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.

This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.

Key Responsibilities:

Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptions Lead the creation of data models and ontologies to standardize data definitions, relationships and semantics across systems Collaborate with extended teams and stakeholders to establish data standards, metadata management practices and data quality frameworks Design scalable architectures that integrate various data sources, systems, and platforms while minimizing duplication Partner with engineering, data analysis, data science and business teams to align data solutions with business needs. Mentor technical teams in data architecture best practices Develop comprehensive architectural documentation and communicate data architecture principles to both technical and non-technical stakeholders Conduct exploratory data analysis to elucidate deficiencies and opportunities with tangible evidence Partner with other Distinguished Engineers across the enterprise to identify and foster investments in shared data services and platforms Engage with senior business product leads to understand the business strategy, value propositions, relative priorities and criteria for

Basic Qualifications:

Bachelor’s degree At least 7 years of experience in Data Architecture and Data Engineering At least 7 years of Data modeling and platform design At least 2 years of experience in cloud computing (AWS)

Preferred Qualifications:

Bachelor's or Master's Degree in Computer Science or a related field 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 2+ years of experience deploying machine learning models Experience implementing knowledge graphs Experience with data mesh, data lakehouse architectures and real-time data pipelines Experience with AWS Data tools (RDS, DynamoDB, S3 and Glue ETL) Experience designing and implementing event based stream processing solutions using data technologies (Kafka, Kinesis, Spark and Flink) Experience with AVRO, Parquet and DeltaLake data formats Experience with using multiple data storage technologies (relational, document, key/value, graph and object stores) Experience with machine learning and AI data infrastructure

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $263,900 - $301,200 for Distinguished Engineer

New York, NY: $287,800 - $328,500 for Distinguished Engineer

Richmond, VA: $239,900 - $273,800 for Distinguished Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 RecruitingAccommodation@capitalone.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 Careers@capitalone.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).Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology Referrals increase your chances of interviewing at Capital One by 2x Get notified about new Distinguished Engineer jobs in New York, NY . New York City Metropolitan Area 1 week ago New York, NY $240,000.00-$300,000.00 1 week ago New York City Metropolitan Area $350,000.00-$350,000.00 1 week ago VP, Engineering and Applications - Hybrid or Remote Opportunity New York, NY $225,000.00-$278,250.00 1 week ago New York, NY $165,000.00-$300,000.00 1 month ago New York, NY $225,000.00-$275,000.00 3 weeks ago New York, NY $302,000.00-$370,000.00 1 week ago VP, AI Solutions Engineering (Hybrid - Flexible Options) New York, NY $225,000.00-$250,000.00 2 weeks ago New York, NY $300,000.00-$330,000.00 1 day ago Parsippany, NJ $165,000.00-$300,000.00 1 month ago New York, NY $302,000.00-$370,000.00 1 week ago Fixed Income Algo Engineering Lead – SVP (Hybrid) New York, NY $176,720.00-$265,080.00 1 week ago Livingston, NJ $300,000.00-$525,000.00 5 days ago Fairfield, NJ $180,000.00-$200,000.00 1 day ago New York, NY $300,000.00-$525,000.00 5 days ago New York, NY $302,000.00-$370,000.00 1 week ago New York, NY $302,000.00-$370,000.00 1 week ago New York, NY $200,000.00-$250,000.00 2 weeks ago VP, Engineering & Architecture (Post Trade) (Hybrid - Flexible Options) New York, NY $155,000.00-$267,500.00 3 hours ago VP Engineering (Frontend - Founding Team)VP - Data Engineering and Reporting Lead New York, NY $170,000.00-$230,000.00 1 week ago Vice President – Environmental EngineeringVP, Engineering & Architecture (Wealth Management) (Hybrid - Flexible Options)Platform Engineering Development Lead SVP C14 - NEW YORK, Hybrid New York, NY $176,720.00-$265,080.00 8 hours ago VP, Backend Developer - Finance Engineering New York, NY $170,000.00-$220,000.00 2 weeks ago Platform Engineering Development Lead SVP C14 - NEW YORK, Hybrid New York, NY $176,720.00-$265,080.00 1 week ago Vice President – Environmental Engineering New York City Metropolitan Area $100,000.00-$170,000.00 16 hours ago New York City Metropolitan Area $100,000.00-$170,000.00 1 day ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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