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JPMorgan Senior Director Data Engineering 
United States, New Jersey, Jersey City 
700749656

13.07.2024

Job responsibilities

  • Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
  • Acts as the primary interface with senior leaders, stakeholders, and executives to drive consensus across competing objectives
  • Manages multiple stakeholders, complex projects, and large cross-product collaborations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams in addition to mentoring junior talent in database management and data modelling
  • Champions the firm’s culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering* concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
  • Experience hiring, developing, and recognizing talent
  • Proven experience in designing and developing large scale data pipelines for batch & stream processing
  • Strong understanding of Data Warehousing, Data Lake, Data Mesh, ETL processes and Big Data technologies (e.g Snowflake, Apache Spark, Apache Kafka, Open File & Table Formats etc. )
  • Expertise in one of the public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
  • Experience with Data Governance, Data Privacy & Subject Rights, Data Quality, Data Lineage, & Data Security practices
  • Experience in Data visualization & BI tools
  • Hands on experience designing and implementing both on prem and cloud native relational and analytical databases.
  • Experience developing and leading large cross-functional teams of technologists
  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
  • Experience leading complex projects supporting system design, testing, and operational stability
  • Experience hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
  • Experience in BI tools a plus