Director, Platform Engineering

DynataWestport, CT

About The Position

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.

Requirements

  • 12+ years in data engineering, architecture, or platform leadership roles
  • 5+ years in a director or senior leadership position managing large technical teams
  • Proven experience delivering enterprise-scale data platforms (Databricks, Snowflake, Delta Lake, Apache Iceberg)
  • Strong knowledge of cloud infrastructure (AWS, Azure, or GCP) and modern data stack
  • Experience with data governance frameworks, data mesh, and data product thinking
  • Executive communication skills with the ability to influence cross-functional stakeholders
  • Experience with budget management and P&L ownership

Nice To Haves

  • MBA or advanced degree in Computer Science, Engineering, or related field preferred
  • Familiarity with AI/ML platform enablement and MLOps
  • Certifications: AWS/Azure/GCP Data Architect, Databricks Platform Architect

Responsibilities

  • Lead and grow a cross-functional team of engineers, architects, and data professionals
  • Partner with business units to identify data platform requirements and translate into platform capabilities
  • Own platform SLAs, uptime, cost management, and quality standards
  • Drive adoption of platform best practices across data engineering, governance, and DevOps
  • Oversee 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 analytics

Benefits

  • A discretionary incentive program may be provided as part of the compensation package
  • a full range of medical and other benefits, dependent on full-time employment status
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