Overview • Lead enterprise data architecture design for a trusted single source of truth in asset management. • Collaborate with cross-functional teams to define data standards and integrate enterprise data sources. • Implement scalable analytics and reporting capabilities using Microsoft Fabric and Snowflake. • Design modern data warehouse/lakehouse solutions and ensure data governance practices. • Develop semantic models and implement data cataloging and lineage tools. • Partner with stakeholders to define KPIs and reusable reporting models. • Ensure data platform security, resilience, and compliance in a regulated environment. • Document architecture, data flows, standards, and operational procedures. • Assess current data platforms and recommend modernization opportunities. Key Responsibilities & Duties • Define and implement enterprise data architecture aligned to business strategy. • Design and build a single source of truth for critical data domains. • Architect Microsoft Fabric solutions and integrate Snowflake capabilities. • Lead data modeling efforts across various model types for analytics. • Establish data governance standards and implement data quality frameworks. • Evaluate and administer data governance and cataloging tools. • Collaborate with teams to define KPIs and reporting requirements. • Ensure data platform security, performance, and compliance. • Document architecture, data flows, and operational procedures. Job Requirements • Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s degree preferred. • Minimum 10 years of experience in data architecture or enterprise data platform delivery. • Hands-on experience with Microsoft Fabric, Snowflake, and Power BI. • Strong SQL and Python skills with visualization package experience. • Deep understanding of data warehousing, modeling, and governance practices. • Experience with data governance tools like Microsoft Purview or Atlan. • Knowledge of data security, compliance, and audit requirements. • Excellent communication skills for technical and non-technical audiences. • Preferred experience with Azure data platforms and investment data.