VP Data Architect: Enterprise Data, Governance & Analytics

Social Capital Resources; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Social Capital Resources is seeking a VP Senior Data Architect to join its Technology team in New York. The role leads the enterprise data architecture roadmap, builds a single source of truth across investment, operations, client, and reporting data, and drives modernization of data platforms.

The ideal candidate has 10+ years in data architecture or related fields, deep experience in financial services, and hands-on expertise with Microsoft Fabric, Snowflake, and Power BI, along with strong

Qualifications

• 10+ years in data architecture, data engineering, or enterprise data platforms.
• 5+ years in financial services; asset or investment management experience preferred.
• Hands-on with Microsoft Fabric, Snowflake, and Power BI.
• Experience with data modeling, ETL/ELT, lakehouse/data warehouse architecture, and SQL.
• Experience implementing data governance solutions (e.g., Microsoft Purview, Atlan).

Responsibilities

• Define and execute the enterprise data architecture roadmap.
• Design a single source of truth across investment, operations, client, and reporting data.
• Architect and implement solutions using Microsoft Fabric, Snowflake, and Power BI.
• Lead enterprise data modeling, data integration, and data warehouse design.
• Establish data governance, lineage, cataloging, and data quality standards.
• Partner with business and technology stakeholders to deliver governed, enterprise-wide reporting and analytics.
• Drive modernization initiatives and recommend improvements to existing data platforms.

Skills

Python

Microsoft Fabric

Snowflake

Power BI

Data modeling

ETL/ELT

SQL

Data governance

Stakeholder communication

Tools

Microsoft Purview

Atlan

Job description

Social Capital Resources is seeking a VP Senior Data Architect to join its Technology team in New York. The role leads the enterprise data architecture roadmap, builds a single source of truth across investment, operations, client, and reporting data, and drives modernization of data platforms.

The ideal candidate has 10+ years in data architecture or related fields, deep experience in financial services, and hands-on expertise with Microsoft Fabric, Snowflake, and Power BI, along with strong