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JPMorgan Senior Lead Infrastructure Engineer - Postgres Database 
United Kingdom, England 
320860766

Yesterday

Job responsibilities

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Advises cross-functional teams on technological matters within your domain of expertise
  • Serves as the function’s go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on data management concepts and 10+ years applied experience.
  • Experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • 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
  • Excellent communication, presentation, and interpersonal skillsExperience developing or leading large or 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 with hiring, developing, and recognizing talent
  • Extensive practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

  • 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)
  • 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