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 wealth management or financial services, deep expertise in data modeling, MDM (e.g., Profisee), and experience architecting cloud-native data platforms that support analytics, AI/ML, and regulatory and compliance requirements. What you'll Do: - 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. What You Bring: - 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. Internal Application Policy: Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP. Benefits to support you: - Competitive pay and benefits with a large employer (over 1600 employees nationwide) - 401(k), health insurance, and a competitive benefits package - Work in a supportive, collaborative environment committed to professional excellence - Help clients navigate meaningful financial decisions with confidence - Opportunities for training, development, and long-term growth within the firm - Tuition reimbursement for qualified expenses