✦ Luna Orbit — Data & Analytics

Distinguished Engineer - Enterprise Data Storage and Consumption

at Capital One Financial

📍 3 Locations Unknown 💰 $269K – $307K USD / year Posted March 14, 2026
Salary $269K – $307K USD / year
Type Full-Time
Experience lead
Exp. Years 10+ years
Education Not specified
Category Data & Analytics

This leadership role involves defining and implementing data storage and consumption strategies, leveraging cloud and big data technologies to optimize business outcomes.

  • Define data ecosystem roadmap
  • Lead data architecture design
  • Ensure data security and governance
  • Optimize data processing performance
  • Mentor data engineering teams

The position requires expertise in cloud-based data platforms like Databricks and Snowflake, data security and governance, performance tuning, and mentoring engineering teams on data architecture and pipelines.

The ideal candidate is a senior data engineer or architect with extensive experience in data storage, processing, and governance, particularly with Databricks, Snowflake, and AWS. They possess leadership skills to mentor teams and drive data ecosystem strategies.

Experience with DatabricksExperience with SnowflakeExperience with AWS cloudData architecture designData security and governancePerformance optimizationMentoring engineering teams
Experience with KMSIAMCost-optimization skillsData engineeringML/AI integrationData pipeline management
DatabricksSnowflakeAWSAmazon Web ServicesIAMKMS
DatabricksSnowflakeAWSAmazon Web ServicesData ArchitectureData SecurityData GovernanceData PipelinesMLMachine LearningBig DataData Integration
Data StorageData ConsumptionDatabricksSnowflakeAWSAmazon Web ServicesData ArchitectureData SecurityData GovernancePerformance EngineeringData PipelinesMLMachine LearningBig DataData Integration
leadershipstrategic thinkingcollaborationmentoringcommunicationproblem-solving
Industry Financial Services / Banking / Fintech
Job Function Leading enterprise data storage and consumption strategies
Data StorageData ConsumptionDatabricksSnowflakeAWSAmazon Web ServicesData ArchitectureData SecurityData GovernanceData PipelinesMLMachine LearningBig DataData IntegrationData EcosystemData Optimization

Lack of experience with Databricks or Snowflake, No experience with AWS cloud, No background in data architecture or security, No leadership or mentoring experience, Experience only in non-data roles

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