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Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS)

at Capital One Financial

📍 2 Locations Unknown 💰 $229K – $262K USD / year Posted April 15, 2026
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Position Details

Salary $229K – $262K USD / year
Type Full-Time
Experience lead
Exp. Years 6+ years (application development) and 2+ years (big data); 1+ year (cloud computing)
Education Bachelor's Degree
Category System Administration

About this role

Senior Lead Data Engineer (Enterprise Platform Technology) will lead data engineering work across enterprise platforms, partnering with Agile teams to design, build, test, implement, and support scalable data solutions. The role focuses on cloud-based data warehousing and full-stack development using Java, Python, and Scala, with an emphasis on unit testing, code reviews, and performance tuning.

Key Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
  • Lead a team of developers for machine learning, distributed microservices, and full stack systems
  • Utilize Java, Scala, Python with Open Source RDBMS and NoSQL databases and cloud data warehousing (Redshift, Snowflake)
  • Perform unit tests and conduct code reviews
  • Mentor the engineering community and collaborate with digital product managers

Technical Overview

The stack includes big data technologies and public cloud computing (AWS, Microsoft Azure, Google Cloud), with data warehousing services such as Redshift and Snowflake. The role involves building systems that use Open Source RDBMS and NoSQL databases, and executing unit tests and peer code reviews to ensure robust, well-tuned performance.

Ideal Candidate

The ideal candidate is a lead-level data engineer with a Bachelor's degree and 6+ years of application development experience, plus 2+ years of big data technologies. They are experienced with cloud computing on Amazon Web Services and/or other public clouds, and can build and review full-stack data solutions using Java, Python, and Scala with Redshift and Snowflake data warehousing.

Must-Have Skills

application developmentbig data technologiescloud computingJavaPythonScalaunit testscode reviewspublic cloud experience (AWSMicrosoft AzureGoogle Cloud) at least 1 year

Nice-to-Have Skills

AI-assisted coding tools (Claude CodeGitHub Copilot)leveraging AI-assisted coding tools to accelerate the software deliveryMaster's Degree9+ years of experience in application development including PythonSQLScalaor JavaDistributed data/computing tools

Tools & Platforms

Amazon Web ServicesAWSMicrosoft AzureGoogle CloudRedshiftSnowflakeClaude CodeGitHub CopilotOpen Source RDBMSNoSQL databases

Required Skills

application developmentbig data technologiescloud computingAmazon Web ServicesMicrosoft AzureGoogle CloudJavaScalaPythonOpen Source RDBMSNoSQL databasesRedshiftSnowflakeunit testscode reviewsperformance tuningAgile teamsfull-stack development

Hard Skills

application developmentbig data technologiescloud computingAmazon Web ServicesMicrosoft AzureGoogle CloudJavaPythonScalaOpen Source RDBMSNoSQL databasescloud based data warehousing servicesRedshiftSnowflakefull-stack development tools and technologiesAgile teamsunit testscode reviewsperformance tuningdistributed microservicesmachine learning

Soft Skills

leadershipcollaboration across Agile teamsmentoring other members of the engineering communitycommunicationcross-functional collaboration with digital product managerscontinuous learning and experimentationiterative delivery

Industry & Role

Industry Banking
Job Function Lead enterprise data engineering for cloud-based platforms using big data technologies and data warehousing.
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Python, Java, SQL / PostgreSQL, Kubernetes, AI & Machine Learning

Keywords for Your Resume

Senior Lead Data EngineerEnterprise Platform TechnologyMarketing and Messaginghyper-personalized messagesomnichannel messagesAgile teamsfull-stack developmentJavaPythonScalaSQLOpen Source RDBMSNoSQL databasesbig data technologiescloud computingAmazon Web ServicesMicrosoft AzureGoogle CloudRedshiftSnowflakeunit testscode reviewsperformancedistributed microservicesmachine learningdigital product managerspublic clouddata warehousing services

Deal Breakers

Bachelor's Degree, At least 6 years of experience in application development (Internship experience does not apply), At least 2 years of experience in big data technologies, At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

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