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Experienced Data Architect to design, develop, and implement comprehensive enterprise data architecture that enables scalability, governance, and innovation. The role requires deep expertise in modern data platforms such as Snowflake, along with strong Data Management and Governance practices. The Data Architect will be responsible for aligning business goals with technology, ensuring data quality, and enabling advanced analytics and AI/ML use cases across the enterprise.
Job Responsibility:
Design, develop, and implement enterprise-wide data architecture, models, and integration frameworks
Establish and enforce data governance standards, policies, and best practices
Design, build and optimize data platforms using Snowflake (preferable) and/or Databricks
Oversee and guide complex data transformation for large and diverse datasets, ensuring Data integrity, quality, and performance
Drive the creation and maintenance of advanced data models, to support both analytical and operational needs
Ensure consistency and reusability of models across business domains and systems
Implement MDM, Lineage tracking, and Data cataloguing
Guarantee consistency between technical design and trust framework (quality, compliance, security)
Collaborate with business stakeholders to align data strategy with organizational objectives, document use cases, and design processes, ensuring alignment with technical implementation
Provide guidance to engineering teams for solution design and implementation
Collaborate with Data Governance teams to ensure alignment between architecture and governance policies
Act as an advisor to Data Architects, Data Governance Officers, Data Product Owners and Managers
Promote best practices and architectural patterns across organization
Contribute to the organization's strategic Data & AI roadmap
Requirements:
11+ years of experience in data engineering/management roles
3+ years in enterprise-level data architecture and data governance
Proven experience of defining the global architecture of the Single Source of Truth and its three components (Access, Knowledge, Trust)
Design and document data models and architecture frameworks aligned with group standards
Integrate real-time and streaming (event-driven architecture) capabilities into the overall design
Proven experience implementing solutions using Snowflake (Preferable) and Databricks
Strong background in Data Governance, Data Quality, and Master data Management (MDM)
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