Lead Data Architect (Sr. Manager)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. At Capital One, we believe in the values of excellence and doing the right thing. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale.
We are seeking Lead Data Architects (Senior Managers) who are passionate about marrying data with emerging technologies to join our team. You’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about#lifeatcapitalone and our commitment todiversity & inclusion by jumping toslides 25-40 on our Corporate Social Responsibility Report.
Lead Data Architects (Senior Managers) 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
Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. Distinguished Engineers will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.
This Lead Data Architect (Senior Manager) will be a hands-on individual contributor and Data Architect within our Retail and Direct Technology organization - supporting Capital One Bank. They will be responsible for tackling our hardest problems, establishing patterns, collaborating across teams and lines of business, and bringing SME-level knowledge around Data Engineering and Architecture. This individual will need to see end to end across our banking organization and ‘put all the pieces’ of our data ecosystem together to create modern, real-time, data solutions.
Innovative practices to bring data from producer to consumer and solving our most critical business problems in batch and real-time, making our most important customer decisions and driving our most critical data processes
Demonstrates the highest level of hands on development and big picture architecture; able to mentor engineers and educate executives
Design and develop cutting-edge solutions, using existing and emerging technology platforms
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, develop, deploy and manage a highly reliable and scalable data pipeline
Build/Modernize our data refinement/ETL processes
Oversee the implementation of solutions for tracking data quality, data consistency and lineage.
Embrace and incubate emerging technology and open source products across all platforms
Collaborate with enterprise teams on developing and adhering to the company standards in terms of validation rules, nomenclature, design and deployments.
Develop, demonstrate, and advocate data strategy at all levels from new engineers to senior executives
Collaborate with internal teams to find areas of opportunities for automation and machine learning.
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
Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and ata lakes; data streaming (consumption/production), data in-transit
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
Build awareness, increase knowledge and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers)
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team (balance being a great coach and listener)
Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible (always consider resiliency and impact; major focus on customer experience)
Effectively communicate with and influence key stakeholders across the Financial Services and Enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated manner
At least 6 years of enterprise experience with Data Warehousing and Database Management
At least 4 years of enterprise experience in Data Architecture and Data Modeling
At least 4 years of enterprise experience working with Big Data
At least 4 years of enterprise experience building real-time data products
At least 4 years of enterprise experience working with Public Cloud technologies
8+ years of enterprise experience architecting and delivering software systems or platforms
8+ years of enterprise experience with data governance, data access, data lineage, data monitoring, and security controls
3+ years of enterprise experience with AWS (including EMR)
3+ years of enterprise experience working with Docker
2+ years of enterprise experience developing in Spark or Flink
2+ years of experience developing enterprise Data Models
2+ years of enterprise experience bringing real-time decision use cases to production
2+ years of enterprise experience building and managing Kubernetes
2+ years of experience building feature engineering, machine learning platforms and use cases
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.