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Senior Lead Solutions Architect - Data - Longview Texas
Company: Capital One Location: Longview, Texas
Posted On: 04/27/2024
Plano 6 (31066), United States of America, Plano, TexasSenior Lead Solutions Architect - DataAt 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. - -Capital One is hiring a skilled Senior Lead Solutions Architect - Data to join our exceptional team of talented technologists in the FS Data Strategy and Products team - supporting Capital One Financial Services. Whether a member of our engineering or architecture teams, they 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. They - will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.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 in Data Engineering 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:
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