Lead Data Architect
4 days ago
Tempe
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 you’re a data architecture leader who thrives on building scalable, cloud-native data platforms and want to make an impact in financial services, we’d love to connect.