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
