JPMorgan Director Data Engineering Workforce 

United States, Georgia, Atlanta 

824775993

Job 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 are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security). Trends in both test-driven and data-driven development.
• 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 scales for business needs.
  

Required qualifications, capabilities, and skills

• Formal training or certification on Data Engineering concepts and 12+ years applied experience. In addition, 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)

• Prior banking experience is preferred.