Director of Data Platform Engineering
About The Position
Lead with Purpose. Partner with Impact. 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.
Requirements
- 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.
Nice To Haves
- Exposure to Snowflake, MDM platforms, and streaming architectures.
- Experience in financial or regulated industries.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
