Mclean, va: $314,800 - $359,300; new york, ny: $34...
Aws infrastructure technical knowledge
Snowflake, databricks platform expertise
Bi tools
Lead technical initiatives to mature and grow consumption platforms leveraged by all lines of businesses, delivering solutions for improving scalability, operational excellence, performance, and resiliency
Job Summary
Lead technical initiatives to mature and grow consumption platforms leveraged by all lines of businesses, delivering solutions for improving scalability, operational excellence, performance, and resiliency.
Act as a trusted advisor, shaping use cases and implementations by building proof of concepts and exploratory analysis, while effectively communicating with and influencing key stakeholders across the enterprise.
Promote a culture of engineering excellence, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent.
Matching Summary
Lead technical initiatives to mature and grow consumption platforms leveraged by all lines of businesses, delivering solutions for improving scalability, operational excellence, performance, and resiliency.
Salary
McLean, VA: $314,800 - $359,300; New York, NY: $343,400 - $392,000; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
AWS infrastructure technical knowledge
Snowflake, Databricks platform expertise
BI tools
highly resilient operational platforms
multi-tenancy, serverless computing
distributed system computing patterns
Nice-to-have
self-driven
actively looking for ways to improve
enable frictionless consumption of data
diversity of thought
collaborating on toughest issues
mentoring internal talent
Key Requirements
Bachelor's Degree
At least 9 years of experience in software engineering
At least 5 years of experience with AWS cloud platform
At least 2 years experience with ML and AI technologies
At least 3 years of experience working with Big Data (Spark)
5+ years of experience with Big Data Technologies
5+ years experience architecting and delivering software systems or platforms