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NEXTMOVEFDE careers · United States
Capital One (Plano campus)

Distinguished Data Engineer - Enterprise Data Technology

AI summary of the role

This is a senior individual contributor role leading the design and implementation of scalable data architectures integrating Databricks and Snowflake on AWS, while driving AI/ML agentic workflows and performance optimization for enterprise data platforms.

What you’ll do

  • Lead design and implementation of highly scalable, fault-tolerant data architectures integrating Databricks and Snowflake.
  • Drive performance engineering and optimization for large-scale data ingestion and processing across Databricks, Snowflake, and AWS pipelines.
  • Provide technical leadership for design, development, testing, and deployment of agentic workflows.
  • Evangelize modern technologies and engineering practices internally and externally.

What you’ll bring

  • Bachelor's Degree
  • At least 7 years of experience in data engineering
  • At least 3 years of experience in data architecture
  • At least 2 years of experience building applications in AWS

Technologies

Databricks · Snowflake · AWS · Python · SQL · Scala · AI · ML · LLM · VectorDBs · Delta Lake · Unity Catalog

Source and classification

Internal deployment & tooling · Evidence for this classification:

Distinguished Data Engineer - Enterprise Data Technology 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 Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the team The Data Operations Center (DOC) serves as the backbone of our enterprise data ecosystem, ensuring the stability and scalability of our core e-data platforms. As a horizontal organization, we manage a diverse tech stack including Snowflake, Databricks, DynamoDB, File Transfers and legacy systems like Ab Initio to provide a high-performance foundation for the entire enterprise
More from the job description

Distinguished Data Engineer - Enterprise Data Technology 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 Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the team The Data Operations Center (DOC) serves as the backbone of our enterprise data ecosystem, ensuring the stability and scalability of our core e-data platforms. As a horizontal organization, we manage a diverse tech stack including Snowflake, Databricks, DynamoDB, File Transfers and legacy systems like Ab Initio to provide a high-performance foundation for the entire enterprise while housing an internal AI,ML Engineering team focused specifically on our evolution. By integrating AI,ML directly into our operations, we are transforming our model from reactive maintenance to a predictive, self-healing, and automated platform architecture. This collaborative structure ensures that the organization continuously evolves its support mechanisms, moving from reactive to predictive and automated operations. Responsibilities Lead the design and implementation of highly scalable, fa [... source excerpt omitted ...] ied 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 Basic Qualifications: Bachelor’s Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS At least 5 years of experience of Python, SQL or Scala At least 3 years of experience developing AI and ML algorithms or technologies Preferred Qualifications: Masters’ Degree 5+ years of experience in data engineering (Hadoop,AWS,Snowflake,ETL etc.) 5+ years of experience in Data Governance, Data Governan [... source excerpt omitted ...] , 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 a

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