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JPMorgan Vice President - Data Domain Architect Hyderabad 
India, Telangana, Hyderabad 
620679557

03.04.2024

Job Responsibilities

  • Utilizing Databricks and ThoughtSpot tools, create a robust and efficient reporting environment for PXT Finance data analytics and reporting.
  • Design and implement comprehensive and efficient data mart schemas that consolidate key data categories from various source systems, tailored to the needs of the PXT Finance & Business Management functions.
  • Collaborate with cross-functional teams, including data engineers, data analysts, and technical specialists, to gather and analyze business requirements.
  • Develop, implement, and optimize data workflows, Extract Transform Load (ETL) processes, and data pipelines using Databricks.
  • Work closely with your business domain Product teams and business stakeholders to: 1) design and develop insightful reporting and analytics solutions that drive informed decision-making; 2) apply design led thinking to meet their needs, including making data discoverable and accessible for analytical needs.
  • Maintain up-to-date documentation on data mart architecture, data models, ETL processes, and data governance policies.
  • Stay current on industry best practices and emerging trends in data warehousing, data integration, and data management, ensuring the organization remains at the forefront of innovation.

Required qualifications, capabilities and skills

  • Overall 10+ years of experience in data architecture, data warehousing, and data integration, with a focus on the retail banking or financial services industry.
  • Bachelor’s degree in Computer Science, Information System, or related discipline
  • Experience with Databricks, Snowflake, or other Cloud Data Warehouse
  • Expertise in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.
  • Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable.
  • Proven track record of successfully managing and delivering complex data projects in a fast-paced, dynamic environment.
  • Strong written and verbal communication skills
  • Working experience in SQL, Data Modeling, ERWIN

Preferred qualifications, capabilities and skills

  • Strong knowledge of Amazon Web Services (AWS)
  • AWS Certifications
  • Experience on market leading data catalog systems
  • ThoughtSpot, Tableau, Alteryx, or Essbase experience