Enterprise Data Architect

Job Overview

We are actively looking for a seasoned Enterprise Data Architect to spearhead the design and advancement of large-scale data capabilities within a transformative corporate setting. This pivotal position involves architecting the future-state data landscape, framing governance models, strategizing data migration, and implementing secure, scalable platforms optimized for analytics and AI readiness.

Key Responsibilities

• Establish and update enterprise data architecture principles, standards, reference frameworks, and strategic roadmaps.
• Architect future data infrastructures encompassing data lakes, warehouses, lakehouses, and analytical ecosystems.
• Create and enforce enterprise data models and metadata frameworks while managing data lifecycle practices.
• Lead data migration plans, including sequencing, transitional architectures, and governance.
• Promote excellence in data quality, lineage tracking, stewardship, security measures, and regulatory compliance.
• Oversee selection and deployment of enterprise data catalogues and metadata management tools.
• Collaborate closely with business units, architects, engineers, security teams, and delivery partners to ensure alignment with strategic data goals.
• Provide architectural leadership across hybrid and cloud data environments.
• Facilitate AI and advanced analytics projects by ensuring availability of reliable, governed, and reusable data assets.
• Participate in architecture governance sessions, design reviews, and tech decision-making.

Required Skills and Experience

• Possession of NV1 Security Clearance.
• Proven experience as an Enterprise Data Architect within large, complex organizations.
• Expertise in designing enterprise data platforms including warehouses, lakes, lakehouses, and analytics ecosystems.
• Demonstrated ability to develop enterprise data strategies, architecture roadmaps, and governance frameworks.
• Strong proficiency in data modeling across conceptual, logical, and physical levels.
• Track record of leading intricate data migration and transformation initiatives.
• Experience deploying metadata management, data lineage, quality assurance, and governance implementations.
• Excellent stakeholder communication skills to engage both technical and non-technical audiences.
• Hands-on experience with cloud data environments, with preference for Microsoft Azure and its data services.
• Exceptional documentation, architectural modeling, and communication abilities.

Preferred Qualifications

• Background in Master Data Management (MDM) frameworks and solutions.
• Experience with enterprise data catalog platforms like Microsoft Purview, Collibra, Informatica, Alation, or equivalents.
• Familiarity with Azure data services such as Fabric, Databricks, Synapse Analytics, Data Factory, and Data Lake.
• Support for AI, ML, and advanced analytics initiatives through modern data architecture.
• Experience working in Federal Government or other strictly regulated sectors.
• Relevant certifications (TOGAF, DAMA, cloud and data architecture).