Description

Design end-to-end data architecture, governance standards, and reference blueprints for scalable enterprise data platforms.

This role is on-site.

Responsibilities

• Design data models, integration patterns, and end-to-end data flows from source to consumption.
• Define data governance standards covering metadata, lineage, quality rules, and access patterns.
• Create and maintain architectural documentation, reference designs, and solution blueprints.
• Evaluate technologies and patterns to meet scalability, performance, and reliability requirements.
• Partner with engineering and analytics teams to ensure implementations align with target architecture.

Required Skills

• 8-10 years of experience in data architecture, data platform design, or enterprise data engineering.
• Proven experience designing scalable enterprise data platforms and target-state architectures.
• Strong background in architecture documentation and governance practices for data models and standards.
• Deep understanding of scalability and performance considerations for data storage and integration.
• Ability to translate business requirements into technical designs for ingestion, transformation, and data access.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Preferred Skills

• Azure experience supporting cloud-based data architecture and platform design.

Key Skills

Education

Any Graduate