Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer - Remote-Eligible

Capital One is a financial services company seeking a Sr. Distinguished Data Engineer to join their Data Storage & Consumption Platform team. This role involves driving technical strategy for consumption platforms and requires deep expertise in cloud infrastructure and data engineering practices.

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

Requirements:

• 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
• 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