Job Description

Roles & Responsibilities

• Data Architecture & Design
  • Design, develop, and maintain enterprise data architecture aligned with strategic business objectives.
  • Develop conceptual, logical, and physical data models to support enterprise data management and analytics.
  • Establish data architecture roadmaps ensuring scalability, security, performance, and efficiency.
  • Design architectures for data warehouses, data lakes, data marts, and enterprise data platforms.
• Data Standards & Governance
  • Define and enforce data architecture principles, standards, and best practices.
  • Establish guidelines for data modeling, data dictionaries, metadata management, and reference/master data.
  • Ensure architecture complies with data governance, security, privacy, and regulatory requirements.
  • Support implementation of Master Data Management (MDM) and data quality frameworks.
• Data Integration & Management
  • Design enterprise data integration frameworks connecting internal and external data sources.
  • Define and oversee ETL/ELT pipelines for extracting, transforming, processing, and loading data.
  • Collaborate with IT and engineering teams in selecting and implementing data management technologies.
  • Ensure seamless integration across enterprise applications and data platforms.
• Performance & Optimization
  • Monitor and optimize data architecture performance through testing, validation, and troubleshooting.
  • Improve data accessibility, security, reliability, and processing efficiency.
  • Ensure appropriate indexing, partitioning, and optimization techniques for improved query performance.
• Stakeholder & Technical Leadership
  • Collaborate with senior management, business stakeholders, IT teams, data engineers, analysts, and governance teams.
  • Translate business requirements into scalable and efficient data architecture solutions.
  • Provide technical guidance and architectural leadership for enterprise data initiatives.
  • Ensure data solutions meet both functional and strategic business requirements.
• Technology & Innovation
  • Evaluate emerging data technologies, platforms, and architecture approaches.
  • Conduct feasibility assessments for new data solutions and technologies.
  • Recommend tools and platforms that strengthen enterprise data capabilities.
  • Promote industry best practices in data architecture and enterprise data management.
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