Capital One Senior Lead Solutions Architect - Data 

United States, Texas, Plano 

144633883

Plano 6 (31066), United States of America, Plano, Texas Senior Lead Solutions Architect - Data

Individual Contributors are...

• Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

• Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates

• Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

• Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

• Leaders who gain the trust and confidence of those around them, from hands on engineers to executives

Primary Responsibilities

• Effectively communicate and build relationships to interact, inform, influence and communicate with key stakeholders at all levels across the company

• Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated manner

• Embrace and incubate emerging technology and open source products across all platforms to enable real-time data everywhere

• Streamline the entire data ecosystem from end to end to ensure the most efficient , standard, privacy compliant processes possible.

• Establish best practices for data access that consider real-time and batch, security practices, and performance

• Demonstrates the highest level of hands on development and big picture architecture; able to mentor engineers and educate executives

• Leverage sound judgment and problem solving to tackle some of Capital One’s most critical problems and connect the dots to broader implications of the work

• Provide technical vision, technical solutions and directions to build complex and sustainable data ecosystem / platform

• Lead, manage and grow our data ingestion, data refinement and data consumption teams as an individual contributor/SME

• Design highly reliable and scalable data pipelines part of the Data Platform with focus on speed, Lineage, DQ, Data Observability and Usage analytics

• Collaborate with enterprise teams on developing and adhering to the company standards in terms of validation rules, nomenclature, design and deployments.

• Ensure adherence to architecture standards for all development in data environment

• Develop, demonstrate, and advocate data strategy at all levels from new engineers to senior executives

• 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

• Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible

Basic Qualifications:

• Bachelor's Degree

• At least 6 years of experience inDataEngineering and Systems Architecture or Technology Solution design

• At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud)
  

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering or Information Technology

• 5+ years of experience working with Big Data

• 5+ years of experience developing in Python, Java, or Scala

• 2+ years of experience building data products

• 3+ years of Data Architecture

• 8+ years experience architecting and delivering software systems or platforms

• 7+ years of data governance, data access, data lineage, data monitoring, and security controls experience

• 3+ years of Data Modeling experience

• 3+ years of experience with AWS including EMR

• 3+ years experience working with Docker

• 2+ years of experience developing in Spark or Flink

• 2+ years of experience developing enterprise Data models

• 2+ years of experience bringing real-time decision use cases to production

• 2+ years of experience building and managing Kubernetes

• 2+ years of experience building feature engineering, machine learning platforms and use cases

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.