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JPMorgan Senior Manager Software Engineering - Data Focus 
United States, Texas, Plano 
450805772

15.04.2025

Job responsibilities

  • Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
  • Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Ensures successful collaboration across teams and stakeholders
  • Identifies and mitigates issues to execute a book of work while escalating issues as necessary
  • Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
  • Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

  • Formal training or certification in Data Engineering concepts with 5+ years of applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Proven experience leading teams of technologists
  • Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
  • Experience with 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, ETL processes and Big Data technologies (e.g Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc. )
  • Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
  • Experience working at code level and ability to be hands-on performing PoCs, code reviews
  • Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin)
  • Excellent communication, presentation, and interpersonal skills

Preferred qualifications, capabilities, and skills

  • Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
  • Strong understanding of Data Validation / Data Quality
  • Experience with supporting large scale AI/ML Data requirements
  • Experience in Data visualization & BI tools is a huge plus