As a Data Architect, you will play a critical leadership role in shaping how data is structured, governed, and leveraged across the enterprise.
Key Tasks:
- Define and evolve enterprise data architecture standards, frameworks, and best practices
- Design scalable, high-performance data models that support analytics, reporting, and AI/ML initiatives
- Lead efforts around Master Data Management (MDM) strategy and implementation
- Architect and optimize end-to-end data pipelines (ETL/ELT) across modern cloud environments
- Establish and enforce data governance, data quality, and data lifecycle management practices
- Partner cross-functionally with business stakeholders, data engineering, and analytics teams to align data strategy with business needs
- Evaluate and recommend emerging technologies to improve data platform capabilities and scalability
Requirements
- Strong experience as a Data Architect with hands-on expertise with modern data platforms such as: Snowflake and Databricks
- Experience working in cloud-based data ecosystems (AWS, Azure, or GCP)
- Ability to translate business requirements into scalable data solutions
- Strong communication skills with experience influencing both technical and non-technical stakeholders
Deep experience in:
- Data Modeling (conceptual, logical, physical)
- ETL/ELT design and optimization
- Data Governance & Data Quality frameworks
- Master Data Management (MDM)
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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