Talent500 is hiring for one of its clients.

Key Responsibilities:

Define and own the enterprise data architecture strategy, standards, and patterns across Wealth Management initiatives.
Lead the design and implementation of Azure-based Lakehouse architecture leveraging Azure Data Lake, Databricks, Delta Lake, and related services.
Serve as the data design authority, governing data models, integration patterns, metadata management, and data quality standards.
Architect and implement Master Data Management (MDM) solutions, preferably with Profisee, to ensure golden records, hierarchies, and reference data integrity.
Collaborate with business stakeholders, data engineers, and analysts to translate business requirements into scalable data architecture and data models.
Ensure alignment with data governance, security, and compliance frameworks (e.g., FINRA, SEC).
Provide technical leadership in data design, ETL/ELT best practices, and performance optimization.
Partner with enterprise architects, solution architects, and technology leaders to integrate data architecture with application and cloud strategies.
Mentor and guide data engineers and modelers, building a culture of engineering and architecture excellence.

Data Architect

Required Qualifications:

10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in a lead/architect capacity.
Strong expertise in Azure Data Lake, Databricks, Delta Lake, and Lakehouse architecture.
Hands-on experience architecting and implementing MDM solutions (Profisee strongly preferred).
Deep knowledge of data modeling (conceptual, logical, physical) and metadata management.
Experience as a data design authority, setting standards and ensuring architectural alignment across programs.
Strong understanding of Wealth Management / Financial Services business processes, data domains (clients, accounts, portfolios, products, transactions), and regulatory data needs.
Proficiency in SQL, Python, Spark, and modern ELT/ETL tools.
Familiarity with data governance, lineage, cataloging, and data quality tools.
Excellent communication and leadership skills to engage with senior business and technology stakeholders.

Preferred Qualifications:

Experience with real-time data streaming (Kafka, Event Hub).
Exposure to BI/Analytics platforms (Power BI, Tableau) integrated with Lakehouse.
Knowledge of data security and privacy frameworks in financial services.
Cloud certification in Microsoft Azure Data Engineering/Architecture.

Data Architect [T500-25790]