Senior Data Platform Engineer - Databricks, Snowflake, AWS

OpenTalent; McLean (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

Capital One is seeking a Distinguished Data Engineer to lead scalable data architectures integrating Databricks and Snowflake while ensuring cost-effectiveness and resilience. The role requires strong AI/ML knowledge and technical leadership to align platform developments with business goals.

As an individual contributor, you will mentor teams, evangelize best practices in the data engineering domain, and help grow Capital One’s technology capabilities across the Global Payment Network (GPN)

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

Responsibilities

• Lead the design and implementation of scalable data architectures integrating Databricks and Snowflake
• Drive performance engineering for large-scale data ingestion and processing workloads (Databricks, Snowflake, AWS)
• Provide technical leadership for AI/ML-enabled data solutions and workflows
• Champion engineering best practices and knowledge sharing across Capital One teams
• Mentor internal talent and recruit on the broader Capital One engineering community

Job description

Capital One is seeking a Distinguished Data Engineer to lead scalable data architectures integrating Databricks and Snowflake while ensuring cost-effectiveness and resilience. The role requires strong AI/ML knowledge and technical leadership to align platform developments with business goals.

As an individual contributor, you will mentor teams, evangelize best practices in the data engineering domain, and help grow Capital One’s technology capabilities across the Global Payment Network (GPN)