Your Role
As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision‑making and digital transformation.

Key Responsibilities
- Define, evolve, and document the organization’s data architecture aligned with business and IT strategy.
- Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards.
- Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs.
- Define policies and standards for data governance, quality, privacy, cataloging, and lineage.
- Lead adoption of metadata management and data discovery tools across teams.
- Ensure compliance with internal and external data regulations and security requirements.
- Architect data integration solutions (ETL/ELT, real‑time and batch pipelines).




- Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh.
- Define integration patterns and data federation frameworks to deliver a 360° data view.
- Act as a technical reference in data architecture, guiding engineering, analytics, and business teams.
- Promote adoption of data models, standards, and best practices across the organization.
- Translate business needs into scalable data solutions and facilitate technical‑business alignment.

Who You Are
Education
- Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields.

Required Experience
- 10+ years of experience in Data engineering.
- 3+ years designing cloud‑based data architectures (Azure, AWS, or GCP).
- 2+ years in data architecture, enterprise data modeling, or data governance.
- Led data model design (relational, multidimensional, non‑relational)

📌 AI Native Data Architect (Palo Alto)
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