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    VP, Data Engineering - San Diego, United States - LPL Financial

    LPL Financial
    LPL Financial San Diego, United States

    3 weeks ago

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    Full time
    Description

    Job Overview:

    The primary focus of the Data Engineering Manager for Investments at LPL Financial is to design, build and maintain the sustainable, highly performant, scalable capabilities that support the delivery of world-class standards of software products and processes. You will be leading a cross-functional team responsible for designing, building, and modernizing existing systems leveraging cloud design principles for ingesting data, processing/preparing data for consumption, and common services for integration.

    Responsibilities:

  • Delivery of High-speed, high quality & optimally priced software that delivers highest value & prioritized business outcomes. Responsible for the platform processing agile team made up of FTE's & Vendor contractors. You will be responsible for Pod design that delivers high value product using technical capabilities of various data platforms. Work with Product Owners & other business and technology stakeholders across various LPL business units to influence Business Epics prioritization, work break down-structures such that we are able to deliver value fastest & cheapest. Work with technical engineers within your Pod and other Pods to identify and implement process improvements to the improve the time to market for data solutions Responsible to manage functional & engineering IP balance between FTE & Vendor contractors to avoid SPOF, avoid excessive vendor dependency, & have optimal design for coverage between on-shore and off-shore.
  • Technical Craftsmanship & Platform Management Responsible for owning and managing creation of technical roadmaps to provide pragmatic and incremental strategies for transitioning from legacy ETL constructs to high-performant, reusable, cloud patterns Research and train members within your Pod and other Pods across the Enterprise Data team on best practices and design patterns Responsible for ensuring data platforms are designed with re-usability in mind to advance the overall Data Strategy Responsible for ensuring all new solutions are aligned to the Enterprise Architecture best practices and existing systems are migrated to follow proper design patterns Innovate via experimentation & partnership with newer vendors offering enhanced capabilities at similar of cheaper price-points.
  • Operational Excellence Responsible for system online times and SLA for performance Responsible for implementing pro-active monitoring solutions to ensure any data quality, timeliness, and accuracy issues can be identified before end-users identify them Build manual and automated operational processes to monitor system health Provide thought leadership in cloud monitoring and balancing processing scale with cost management

    • What are we looking for?

    We want strong collaborators who can deliver a world-class client experience . We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented , and are able to execute in a way that encourages creativity and continuous improvement .

    Requirements:

  • Experience with investment products, including brokerage accounts, mutual funds, and annuities. Has proven ability to innovate and modernize legacy platforms while providing continuous business value
  • Has a total of 12+yrs IT experience & minimum 7-10 yrs experience working with big data solutions
  • Cloud/ SaaS hosted capabilities such as AWS or Microsoft Azure or Google Cloud
  • Experience with multiple database platforms including Oracle, MS SQL Server, NoSQL, and graph Databases
  • Has 2-5yrs experience in running engineering Pods that followed SAFe cadence for their day-2-day cadence

    • Core Competencies:

  • Strong organizational and communication skills, both oral and written
  • Strong experience developing solutions on multiple platforms while leading engineering teams with FTEs and Vendor contractors

    • Preferences:

  • Hands-on experience implementing streaming data leveraging Kafka or Kinesis, and caching tools (Elasticsearch, OpenSearch, GridGain)
  • Hands-on experience designing and implementing RESTful services
  • Understanding of ETL tools and techniques
  • Facilitate group workshops to extract knowledge of existing processes

    • Pay Range:

    $134,120-$201,180/yearActual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer
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