Data/Information Architect

Description

We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.

Responsibilities:
Develop and maintain enterprise data models that support analytics, reporting, and operational needs.
Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.
Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.
Collaborate with stakeholders to gather data requirements and ensure business objectives are met.
Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.
Establish governance processes, including metadata management, data lineage, and quality assurance protocols.
Define and manage canonical data models across key business domains to ensure consistency.
Document and enforce data modeling standards to drive adoption across engineering teams.
Assess and enhance existing data models, identifying areas for improvement in performance and alignment.
Provide strategic guidance on data management tools and technologies to support organizational goals.

Requirements

At least 7 years of experience in data architecture, modeling, or database design.
Expertise in Dimensional (Star/Snowflake), relational, and Data Vault modeling methodologies.
Proficiency in relational and non-relational databases, including Delta Lake architecture.
Strong knowledge of Microsoft Fabric, Delta Lake, and Medallion Architecture.
Proven experience in designing data models for enterprise analytics and operational use cases.
Familiarity with cloud-based data architectures, particularly Azure tools such as Data Lake, Synapse, and Databricks.
Excellent analytical and problem-solving skills, with the ability to translate business needs into effective data solutions.
Outstanding communication and stakeholder management skills to foster collaboration between technical and business teams.

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