Senior Manager / Data Architect

Capital One Financial Corporation | Plano

Date listed

3 weeks ago

Employment Type

Full time

Plano 5 (31065), United States of America, Plano, Texas

Senior Manager / Data Architect

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.

We are seeking a Senior Manager / Solutions Architect - Data Engineering who is passionate about marrying data with emerging technologies to join our team. As aCapital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about#lifeatcapitalone and our commitment todiversity & inclusion by jumping toslides 25-40 on our Corporate Social Responsibility Report.

We are looking for a Senior Manager / Solutions Architect, Data Engineering (Data Architects who are passionate and self motivated. Ideal candidates bring strong engineering excellence and 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

  • Supports, both internally and externally, helping to elevate the Data Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

  • Technical leaders who gain the trust and confidence of those around them, from hands on engineers to executives

  • Engineering leaders who are customer focused, decisive, understand priorities, maintain humility, and values feedback.

Our Data Architects 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. The candidate will significantly impact the Data Tech agenda within the organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.

Responsibilities:

  • 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

  • Build awareness, increase knowledge sharing and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in

  • Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and inner source 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 data transformation and machine learning ecosystem, helping to shape use cases and implementation in an integrated manner

  • Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle

  • 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

  • Work across multiple lines of business, partnering with other architects

  • Bring in a larger context to 100+ software teams across multiple lines of business and guide their architecture evolution in response to business changes

  • Support Data Domains for all FS Tech Experiences

Basic Qualifications:

  • Bachelor’s Degree

  • At least 10 years of enterprise Data Engineering leadership experience

  • At least 8 years of enterprise DataArchitecture experience

  • At least 8 years of enterprise Data Management experience

  • At least 8 years of experience with DataArchitecture patterns

  • At least 8 years experience with Big Data technologies: Python, Spark, Scala, Cassandra, Accumulo, HBase, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper

  • At least 5 years of enterprise experience in a Public Cloud environment

Preferred Qualifications:

  • Masters’ Degree

  • 12+ years of enterprise Data Engineering leadership experience

  • 12+ years of enterprise DataArchitecture experience

  • 10+ years of enterprise experience with Architecture, Design, and Development of enterprise data systems

  • 10+ years with distributed data management: Enterprise data transformation, data storage, high availability, and scalability

  • 10+ years of experience with Big Data technologies: Python, Spark, Scala, Cassandra, Accumulo, HBase, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper

  • 5+ years leading Big Data initiatives and navigating complex Big Data challenges

  • 3+ years of AWS experience

  • AWSCertified Solutions Architect

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




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