Senior Data Architect

Role Summary

Seeking a senior data architect to lead the strategy, design, and implementation of unified data architecture across the parent enterprise and its acquired entities. This role requires hands-on engineering skills, architectural thinking, and collaboration with business and technology teams to drive integration, governance, migration, and data strategy.

Key Responsibilities

• Assess current data architectures and dependencies.
• Design and implement a target-state enterprise data architecture.
• Standardize data domains, models, and structures.
• Lead data integration and migration efforts.
• Develop strategies for merging various data types.
• Collaborate with Enterprise Architecture to align data initiatives.
• Implement data governance frameworks and stewardship models.
• Evaluate and implement data technologies (e.g., Azure Synapse, Snowflake).
• Guide MDM, metadata management, and data cataloging efforts.
• Ensure scalability, security, performance, and compliance.
• Build documentation and operational playbooks.
• Serve as a strategic partner for post-merger data integration.

Required Skills & Experience

• 8 years in data architecture or enterprise data engineering.
• Experience architecting enterprise-level data platforms.
• Expertise in data modeling and design across OLTP and OLAP systems.
• Familiarity with NoSQL systems and hybrid architectures.
• Hands-on experience with Azure data stack and modern cloud-native ecosystems.
• Knowledge of data governance, lineage tools, and MDM frameworks.
• Strong understanding of data integration patterns and metadata.
• Excellent communication skills.

Preferred Qualifications

• Experience in M&A environments.
• Knowledge of data mesh, lakehouse architectures, and semantic layers.
• Certifications in Azure, Snowflake, or enterprise architecture tools.
• Exposure to EA frameworks (e.g., TOGAF).