Vice President, Senior Data Architect - Baron Capital

About Baron Capital

Baron Capital is a leading asset management firm founded in 1982. We believe that hiring, retaining, and nurturing talented individuals who share our passion for excellence, integrity, and innovation is the key to our success. This means creating a welcoming, inclusive, and inspiring environment for all, as well as providing the resources and support our employees need to succeed. We take pride in our exceptionally low turnover and consider it a testament to our culture of collaboration and open communication. If you are looking for a career where you are part of a dynamic team where you can truly make a difference, we invite you to consider joining us.

About the Role

The Data Architect will lead the design and build-out of the firm’s enterprise data architecture, with a focus on creating a trusted single source of truth for an asset management organization. This role will partner with business, technology, operations, investment, compliance, and reporting stakeholders to define data standards, integrate enterprise data sources, and deliver scalable analytics and reporting capabilities.

Microsoft Fabric, Snowflake, and Power BI are required. The ideal candidate has hands-on experience designing modern data warehouse/lakehouse solutions using Microsoft Fabric and Snowflake, building governed semantic models, and implementing data governance, cataloging, lineage, and data quality practices using Microsoft Purview, Atlan, or comparable data governance tools.

Key Responsibilities

• Define and implement the enterprise data architecture and roadmap for a modern Microsoft data platform, aligned to the firm’s business strategy and asset management data needs.
• Design and build a single source of truth across critical domains such as security master, funds, portfolios, holdings, transactions, performance, clients, reference data, and reporting data sets.
• Architect Microsoft Fabric solutions, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, notebooks/data engineering workloads, semantic models, and Power BI reporting layers; design and integrate Snowflake data warehouse capabilities where used by the firm.
• Lead data modeling efforts across conceptual, logical, and physical models, including dimensional, normalized, and semantic models for analytics and reporting.
• Design scalable ingestion, transformation, validation, and orchestration patterns for internal and external data sources, including APIs, files, databases, vendor feeds, operational systems, Microsoft Fabric, and Snowflake.
• Establish and enforce data governance standards, including data ownership, stewardship, metadata, lineage, definitions, classification, access controls, retention, and usage standards.
• Implement data quality frameworks, profiling, validation rules, monitoring, exception management, and remediation workflows to improve trust in enterprise reporting and ana