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 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.
Skills Required
- 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
- Experience with budget management and P&L ownership
- Familiarity with AI/ML platform enablement and MLOps
- Certifications: AWS/Azure/GCP Data Architect, Databricks Platform Architect
Dynata Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dynata and has not been reviewed or approved by Dynata.
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Leave & Time Off Breadth — Time off options such as paid holidays, sick time, PTO, and in some cases unlimited PTO are available, with PTO sometimes described as generous. Volunteer time and a “birthday day off” expand the time‑off menu beyond basics.
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Flexible Benefits — Flexible and remote work options are broadly offered across a global and hybrid footprint, including part‑time and work‑from‑home arrangements. This flexibility can make certain entry‑level or side‑income roles feel reasonable for the work involved.
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Wellbeing & Lifestyle Benefits — Perks such as commuter benefits, wellness resources, snacks, gym or cell‑phone reimbursements, and tuition reimbursement are part of the package. Employee resource groups and volunteer opportunities add lifestyle and community support.
Dynata Insights
What We Do
Dynata is the world’s largest first-party data platform for insights, activation and measurement. With a reach that encompasses over 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth. We’ve helped more than 6,000 market research firms, brands, media and advertising agencies, publishers, and consulting and investment firms around the world and in every industry accelerate transformation, enable better decision-making, and deliver revenue growth.
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