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JPMorgan Chase - Columbus, OH

posted 18 days ago

Full-time - Senior
Columbus, OH
Credit Intermediation and Related Activities

About the position

As a Director of Data Engineering at JPMorgan Chase within the Employee Platforms, Workforce Data and Analytics team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP. Utilize your in-depth engineering knowledge and impact for data, analytics, applications, technical processes, and product management to lead multiple complex projects and initiatives, make key decisions for your team, and a drive innovation and solution delivery.

Responsibilities

  • Delivers data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
  • Proficient in all aspects of the data production pipeline driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
  • Modular designs that can be auto repeatable as frameworks.
  • Lead to build a data production factory, minimizing ad hoc data generation.
  • Leads data engineering scrum team to achieve functional technology objectives.
  • Makes strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
  • Execution level accountability for SDLC, design patterns and upskilling engineers.
  • Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Influences peer leaders and senior stakeholders across the business, product, and data technology teams.
  • Champions the firm's culture of diversity, equity, inclusion, and respect.
  • Transform traditional HR/EX into modern data product offerings that scale for business needs.

Requirements

  • Formal training or certification on Data Engineering concepts and 12+ years applied experience.
  • 5+ years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise.
  • Hands-on Data Engineering development, testing, automation.
  • Key Technical Skills: Cloud Providers: AWS, Data Bricks, Azure.
  • Glue/EMR/DBX.
  • Terraform.
  • Apache Spark, Kafka.
  • Python/Scala.
  • AI Developer Automation Tools (Unit Test).
  • Experience developing and leading cross-functional teams of technologists, dealing with internet scale volume and size of data.
  • Experience hiring, developing, and recognizing talent.
  • Leading a product as a Product Owner or Product Manager.
  • Experience in Big Data technologies handling complex data processing requirements.
  • Experience building data pipelines and platforms in cloud (AWS, GCP, Azure).

Nice-to-haves

  • Prior banking experience is preferred.
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