Director, Platform Engineering

The Director, Platform Engineering, is the senior engineering leader responsible for the architecture, deliver, operations, reliability, and scalability of the company’s enterprise Data Lakehouse platform. This role leads teams responsible for platform engineering and technical operations, ensuring the Data Lakehouse platform provides a robust foundation for analytics, reporting, AI/ML, and data-driven business capabilities. Working closely with Product, Data Analytics, Security, and Infrastructure leaders, this individual provides technical leadership and engineering execution for platform initiatives while driving operational excellence, platform adoption, and continuous modernization of the enterprise data ecosystem. This leader bridges business and technology, aligning platform capabilities with enterprise data strategy. RESPONSIBILITIES Lead and grow a cross-functional team of engineers, architects, and data professionalsPartner with business units to identify data platform requirements and translate into platform capabilitiesOwn platform SLAs, uptime, cost management, and quality standardsDrive adoption of platform best practices across data engineering, governance, and DevOpsOversee vendor relationships, licensing, and cloud provider partnerships (AWS, Azure, GCP)Ensure platform compliance with data privacy, security, and regulatory requirements (GDPR, CCPA, HIPAA)Champion a culture of data democratization and self-service analyticsREQUIRED EXPERIENCE12+ years in data engineering, architecture, or platform leadership roles5+ years in a director or senior leadership position managing large technical teamsProven experience delivering enterprise-scale data platforms (Databricks, Snowflake, Delta Lake, Apache Iceberg)Strong knowledge of cloud infrastructure (AWS, Azure, or GCP) and modern data stackExperience with data governance frameworks, data mesh, and data product thinkingExecutive communication skills with the ability to influence cross-functional stakeholdersMBA or advanced degree in Computer Science, Engineering, or related field preferred Experience with budget management and P&L ownershipSKILLSFamiliarity with AI/ML platform enablement and MLOpsCertifications: AWS/Azure/GCP Data Architect, Databricks Platform Architect