We are seeking a Lead Data Architect to drive the design and implementation of our enterprise data architecture with a focus on Azure Data Lake, Databricks, and Lakehouse architecture . This role will serve as the data design authority, ensuring alignment with enterprise standards while enabling business value through scalable, high-quality data solutions.
The ideal candidate will have a proven track record in financial services or wealth management , deep expertise in data modeling and MDM (e.g., Profisee) , and experience architecting cloud-native data platforms that support analytics, AI / ML, and regulatory / compliance requirements.
Key Responsibilities
- Define and own the enterprise data architecture strategy, standards, and patterns.
- 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.
- Collaborate with stakeholders, engineers, and analysts to translate business requirements into scalable architecture and data models.
- Ensure alignment with data governance, security, and compliance frameworks.
- Provide technical leadership in data design, ETL / ELT best practices, and performance optimization .
- Partner with enterprise and solution architects to integrate data architecture with application and cloud strategies.
- Mentor and guide data engineers and modelers, fostering a culture of engineering and architecture excellence.
Required Qualifications
10+ years of experience in data architecture, data engineering, or related fields , with 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 across enterprise programs.Strong understanding of financial services data domains (clients, accounts, portfolios, products, transactions) and regulatory 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 .Benefits
Comprehensive health, vision, and dental coverage .401(k) plans plus a variety of voluntary plans such as legal services, insurance, and more.👉 If youre a data architecture leader who thrives on building scalable, cloud-native data platforms and want to make an impact in financial services, wed love to connect.