RESUME AND JOB
Capital One
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:
You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy.
Our Sr. Distinguished Engineers 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
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Responsibilities:
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource 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 a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified 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 software engineering or data engineering
At least 5 years of people management experience
At least 3 years of experience with Big Data and data streaming
At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems
Preferred Qualifications:
Masters’ Degree
10+ years of experience in data engineering
3+ years of experience implementing big data frameworks and processing solutions
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
2+ years of experience using Python, SQL or Scala
1+ year of experience deploying machine learning models
5+ years of experience with Agile engineering practices
8+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
8+ years experience with NoSQL implementation (Mongo, Cassandra)
8+ years experience developing Java based software solutions
8+ years experience in at least one scripting language
8+ years experience developing software solutions to solve complex business problems
8+ years experience with Relational Database Systems and SQL
8+ years experience designing, developing, and implementing ETL
8+ years experience with UNIX/Linux including basic commands and shell scripting
8+ years of experience providing technical leadership
8+ years of experience leading the full life-cycle of IT development and platform support
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.45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
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Capital One
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:
You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy.
Our Sr. Distinguished Engineers 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
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Responsibilities:
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource 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 a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified 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 software engineering or data engineering
At least 5 years of people management experience
At least 3 years of experience with Big Data and data streaming
At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems
Preferred Qualifications:
Masters’ Degree
10+ years of experience in data engineering
3+ years of experience implementing big data frameworks and processing solutions
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
2+ years of experience using Python, SQL or Scala
1+ year of experience deploying machine learning models
5+ years of experience with Agile engineering practices
8+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
8+ years experience with NoSQL implementation (Mongo, Cassandra)
8+ years experience developing Java based software solutions
8+ years experience in at least one scripting language
8+ years experience developing software solutions to solve complex business problems
8+ years experience with Relational Database Systems and SQL
8+ years experience designing, developing, and implementing ETL
8+ years experience with UNIX/Linux including basic commands and shell scripting
8+ years of experience providing technical leadership
8+ years of experience leading the full life-cycle of IT development and platform support
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.45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Get personalized recommendations to optimize your resume specifically for Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.
Answer 10 quick questions to check your fit for Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer @ Capital One.

No related jobs found at the moment.

© 2026 Pointers. All rights reserved.