Job description
The Director, Platform Engineering, is the senior engineering leader responsiblefor 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 theDataLakehouse platform provides a robust foundation for analytics, reporting, AI/ML, and data-drivenbusiness capabilities.
Working closely with Product, Data Analytics, Security, and Infrastructure leaders, this individual provides technicalleadershipand engineering execution for platforminitiativeswhile 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 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
REQUIRED EXPERIENCE
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
MBA or advanced degree in Computer Science, Engineering, or related field preferred
Experience with budget management and P&L ownership
SKILLS
Familiarity with AI/ML platform enablement and MLOps
Certifications: AWS/Azure/GCP Data Architect, Databricks Platform Architect
At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.
At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process.
Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.
The base salary range for this position in is $150K-$200K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.