Distinguished Engineer, Risk Management Data Architect at Capital One
Washington, DC
About the Job
Distinguished Engineer, Risk Management Data Architect
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.
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 success.
What skills do you need to have:
Hands on experience with AWS Cloud data technologies including RDS, DynamoDB, S3 and Glue ETL
Experience designing and implementing event based stream processing solutions using technologies such as Kafka, Kinesis, Spark and Flink
Ability to design and implement high availability, multi-region data replication for mission critical applications
Experience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management.
A track record of designing and implementing end-to-end data pipelines supporting both production and analytic use cases
Comfortable coding with Python or Scala and proficient in SQL
In-depth understanding of AVRO, Parquet and DeltaLake data formats
Background using multiple data storage technologies including relational, document, key/value, graph and object stores
Demonstrated ability to partner with internal product and intent owners to help define requirements and outcomes for data-focused initiatives
Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery
Understanding of machine learning and AI data infrastructure needs
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 (building applications in AWS )
Preferred Qualifications:
Bachelor's or Master's Degree in Computer Science or a related field
At least 2 years of experience with ontology standards for defining a domain
At least 2 years of experience using Python, SQL or Scala
At least 1 year of experience deploying machine learning models
Experience implementing knowledge graphs
Familiarity with Industry standards related to Data
Experience with data mesh, data lakehouse architectures and real-time data pipelines
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.
New York City (Hybrid On-Site): $274,800 - $313,600 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
. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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.
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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).
