We are looking for a Director of Data Engineering to lead the strategic vision and execution of our enterprise data platform. This is a leadership role focused on building a world-class data engineering organization, modernizing our data ecosystem, and enabling advanced analytics and AI capabilities across the enterprise.
What you'll Do:Provide accurate information, troubleshoot issues, and ensure clients feel cared for and well-informed.
- Define and execute the enterprise data engineering roadmap aligned with business objectives.
- Establish best practices for architecture, governance, and operational excellence.
- Drive adoption of modern data platforms and cloud-native solutions across the organization. records and support ongoing regulatory needs.
- Build, mentor, and scale a high-performing data engineering team.
- Foster a culture of innovation, accountability, and continuous improvement.
- Develop career paths and training programs to grow technical and leadership capabilities.
- Oversee modernization of the Azure-based data ecosystem and Databricks Lakehouse platform.
- Ensure reliability, scalability, and compliance across all data pipelines and workflows.
- Champion data governance, security, and regulatory compliance for sensitive datasets.
- Partner with business leaders, data scientists, and technology teams to deliver impactful solutions.
- Communicate complex technical concepts in business terms to influence executive decision-making.
- Act as a trusted advisor for data strategy and platform architecture.
- Guide architecture for Databricks Lakehouse, Delta Lake, and Unity Catalog.
- Ensure best practices for ETL/ELT frameworks, orchestration, and CI/CD automation.
- Drive data governance, lineage, and metadata management initiatives.
What You Bring: - 12+ years in data engineering and platform architecture, with 5+ years in leadership roles.
- Proven success in building and scaling enterprise data platforms on Azure and Databricks.
- Strong understanding of data governance, security, and compliance frameworks.
- Exceptional leadership, communication, and stakeholder management skills.
- Exposure to Snowflake, MDM platforms, and streaming architectures.
- Experience in financial or regulated industries.
- Platform Reliability: 99.9% uptime for data pipelines and workflows.
- Data Governance Compliance: 100% adherence to security and regulatory standards.
- Team Growth: Build and retain a high-performing team with strong engagement scores.
- On-time delivery of strategic data initiatives and platform enhancements.
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
