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Data Domain Architect Assoc Senior

JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 1 weeks ago
Communication

Full Job Posting

Job Responsibilities

  • Partner with business stakeholders, analysts, and platform users to understand data requirements, business objectives, and functional needs.
  • Design scalable, reliable, and performant data architectures and domain models that support enterprise data products and analytical workloads.
  • Collaborate with data engineering teams to develop and enhance data pipelines, datasets, and lakehouse solutions aligned with architectural standards and best practices.
  • Validate and test data models, transformations, and enhancements to ensure accuracy, quality, and alignment with business requirements.
  • Establish and maintain technical documentation, data definitions, lineage information, and user-facing documentation supporting platform capabilities.
  • Implement and manage data quality controls, validation frameworks, reconciliations, and operational runbooks to ensure data integrity and platform reliability.
  • Drive continuous improvement and innovation by identifying opportunities to optimize data structures, processes, and platform performance.
  • Support Agile delivery practices and contribute to the successful execution of strategic data initiatives across global teams.

Required Qualifications, Capabilities, and Skills

  • Minimum 6+ years of experience in Data Architecture, Data Engineering, Data Analytics, Data Management, Business Analysis, or a related field.
  • Strong experience designing and implementing enterprise-scale data platforms, data products, and analytical solutions.
  • Strong knowledge of data modeling concepts, experience designing and implementing scalable data products within a Lakehouse Medallion Architecture.
  • Ability to translate complex business problems into scalable technical solutions and actionable requirements.
  • Experience collaborating effectively within Agile and cross-functional teams while managing responsibilities independently.
  • Strong written and verbal communication skills with the ability to engage stakeholders across varying levels of technical expertise.
  • Proven analytical, problem-solving, and decision-making skills.
  • Self-motivated with the ability to manage priorities and deliver results in a fast-paced environment.
  • Passion for driving innovation, operational excellence, and adoption of data best practices.

Preferred Qualifications, Capabilities, and Skills

  • Experience within Financial Services, Wealth Management, Investment Management, Brokerage, or Consumer Banking environments.
  • Knowledge of modern cloud-based data platforms, lakehouse architectures, and enterprise data ecosystems.
  • Familiarity with data governance, regulatory reporting, and data quality management frameworks.
  • Experience supporting analytical use cases including business intelligence, data science, operational reporting, and commercial analytics.
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, Engineering, or a related field.

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