Senior Manager, Solution Architecture (Data Architecture)
Capital One is hiring a skilled Solutions Architect with extensive experience in data engineering, data architecture and data modeling to drive the design and implementation of the People Tech data ecosystem. The successful candidate will be instrumental in establishing a well-governed, global, and frictionless data environment that facilitates rapid insight generation and supports trusted, strategic decision-making. This role will also be a key driver in our journey towards standardized data products and advanced AI/ML capabilities.
This role is part of the People Tech organization. In People Tech, we’re focused on delivering exceptional experiences and tech innovations for Capital One’s associates and business partners. As a team, we deliver modern engineering capabilities, services, and platforms.

BASIC QUALIFICATIONS:

• Bachelor’s Degree
• At least 6 years of experience in Data Engineering and Data Architecture or Technology Solution design
• At least 4 years of experience in big data technologies
• At least 2 years of Data modeling and platform design
• At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud)

PREFERRED QUALIFICATIONS:

• Master’s Degree in Computer Science, Engineering or Information Technology
• 9+ years of experience in application development including Python, SQL, Scala, or Java
• 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Databricks)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation
• 4+ years of data warehousing experience (Redshift or Snowflake)
• 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.
  McLean, VA: $225,400 - $257,200 for Sr. Manager, Solution Arch
  New York, NY: $245,900 - $280,600 for Sr. Manager, Solution Arch
  Plano, TX: $204,900 - $233,800 for Sr. Manager, Solution Arch
  Richmond, VA: $204,900 - $233,800 for Sr. Manager, Solution Arch
  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 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.
  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)

• 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 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