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Enterprise Data Architect

Company: Silicon Valley Bank
Location: Santa Clara
Posted on: November 22, 2021

Job Description:

BE PART OF A BANK LIKE NO OTHER.When you work with the world's most innovative companies, you know you're making a difference.Our clients are the game changers, leaders and investors who fuel the global innovation economy. They're the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work.They come to SVB for our expertise, deep network and nearly forty years of experience in the industries we serve, and to partner with diverse teams of passionate, enterprising SVBers, dedicated to an inclusive approach to helping them grow and succeed at every stage of their business.Join us at SVB and be part of bringing our clients' world-changing ideas to life. At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.Job DescriptionMake Next Happen Now. For more than 30 years, Silicon Valley Bank (SVB) has helped innovative companies and their investors move bold ideas forward, fast. SVB provides targeted financial services and expertise through its offices in innovation centers across the world. With commercial, international and private banking services, SVB helps address the unique needs of innovators.TheSVBOCTOseeks a senior architect to provide technical and thought leadership to programs acrossthe enterprise. This ideal candidate for this role has experience in designing large scale data and data-centric systems in a regulated industry. The role has a wide, enterprise viewand will be the key person responsible for tracking the sources,canonical view,movement,and interfaces of data assets across a range of SVB systems.The person in this rolewillbe a Rolemodel and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Supporters, both internally and externally. The person is part of a team that enables transformation across the enterprise and as such must beastrong technicalleader whowillgain the trust and confidence of those around them, from hands onanalysts andengineers to executiveEngineering leaders.Asa member of our architecture team,theEnterpriseData architectis anindividual contributorexpected toexecute on priorities andsolve problems in a fast-paced, collaborative, andagiledelivery environment.The ideal candidate will approach this with akeen interest in meaningful feedback and a balance of competence and humility.In order to meet these demands, candidates shouldhave deepexpertisein this domain, and a collaborative style that brings others into the decision-making process. The candidate will significantly impact the Tech agenda withinthe organizationand devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.
Responsibilities:

  • Map the sources, transformation, and interfaces of critical data through the enterprise
  • Design the storage, movement, and processing patterns that will align to our technology vision
  • Build the canonical data definitions and views for key systems, in close collaboration with business owners.
  • Build foundational patterns which mitigate risk, improve data quality, and support compliance
  • Leverage sound judgment and problem solving to tackle some of SVB's most important data management problems and connect the dots to broader implications of the work
  • Build awareness, increase knowledge sharing and drive adoption of modern technologies and architecture patterns in this domain
  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
  • Operate as a trusted advisor for data transformation and machine learning ecosystem, helping to shape use cases and implementation in an integrated manner
  • Bring in a larger context to multiple software teams across multiple lines of business and guide their architecture evolution in response to business changesBasic Qualifications:
    • Bachelor's in Computer Science or equivalent experience
    • 8+ years of enterprise data architecture experience
    • 8+ years of experience with architectural patterns, involved in building APIs, microservices, event streams, and high throughput systems
    • 4 years of experience working within the AWS ecosystemPreferred:
      • Minimum 10 years of data engineering experience, with knowledge of Agile development process
      • Experience architecting and developing large scale MDM (preferred Informatica), data warehousing, data lake and data integration projects
      • Experience with Data governance tools e.g. Collibra
      • Experience in performance monitoring and performance tuning
      • AWS CertificationQualifications
        • Masters' Degree or higher in Computer Science or a related field
        • 10+ years in software development, solutions architecture, or architect roles
        • 10+ years of experience in designing, developing, and architecting enterprise data systems
        • 10+ years with distributed data management, data storage including databases (Relational, NoSQL), data analysis, data processing, data transformation, high availability, and scalability
        • A solid understanding and experience in the reporting domain - operational and analytics
        • 5+ years driving big data initiatives and navigating complex data challenges
        • Has a strong understanding of the big data landscape
        • 5+ years working in and with data lakes, data warehouses, streaming platforms, and cloud platforms
        • 2+ years in data mining, machine learning, and data science
        • Experience in financialorotherregulateddomain is a plus
        • Experience intransformationalinitiatives,re-imagingon-prem datafootprint (tech, data)to the cloudAssociated topics: data analytics, data architect, data integration, data scientist, data warehouse, data warehousing,big data,hbase,sql, Data Lake, AWS 2021 SVB Financial Group. All rights reserved. SVB, SVB FINANCIAL GROUP, SILICON VALLEY BANK, MAKE NEXT HAPPEN NOW and the chevron device are trademarks of SVB Financial Group, used under license. Silicon Valley Bank is a member of the FDIC and the Federal Reserve System. Silicon Valley Bank is the California bank subsidiary of SVB Financial Group (Nasdaq: ).Equal Employment OpportunitySilicon Valley Bank is an equal opportunity employer and is dedicated to expanding its commitments and investments to create a more diverse, equitable and inclusive company culture and innovation ecosystem. We are strongly committed to the values and policy of equal employment opportunity across our employment practices.Silicon Valley Bank is registered in England and Wales at Alphabeta, 14-18 Finsbury Square, London EC2A 1BR, UK under No. FC029579. Silicon Valley Bank is authorised and regulated by the California Department of Business Oversight and the United States Federal Reserve Bank; authorised by the Prudential Regulation Authority with number 577295; and subject to regulation by the Financial Conduct Authority and limited regulation by the Prudential Regulation Authority. Details about the extent of our regulation by the Prudential Regulation Authority are available from us on request.CategoryComputer Systems Engineers/ArchitectsEducationBachelor's DegreeExperience8 to 20+ yearsJob typeFull time

Keywords: Silicon Valley Bank, Santa Clara , Enterprise Data Architect, Other , Santa Clara, California

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