Vice President, Senior Data Architect

Location: New York

Job Detail Experience Level Sr Level Degree Type Bachelor of Science (BS)
Employment Full Time Working Type Hybrid Job Reference Salary Type Annually Industry Financial Services Selling Points Lead impactful projects at a top-tier asset management firm. Drive enterprise data architecture innovation with cutting-edge technologies. Collaborate with diverse teams to enhance data governance and analytics.

Job Description 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.