Senior Director, Data Platform & Engineering

Accountabilities

In this role, you will define and execute the strategic direction of enterprise data platform and engineering organizations, ensuring scalable, secure, and high-performing systems that support company-wide analytics and operations. You will:

• Lead and develop multiple engineering teams through directors, setting vision, priorities, and performance standards across data platform and data engineering functions


• Own the multi-quarter roadmap for enterprise data infrastructure, balancing modernization, stability, security, and enablement initiatives


• Drive large-scale platform evolution across Snowflake, AWS, GCP, Airflow, dbt, and ingestion frameworks, including cloud migration and system consolidation


• Oversee data architecture strategy, including data lake design, governance frameworks, observability systems, and cost optimization efforts


• Ensure reliability and scalability of enterprise data pipelines powering analytics, reporting, and operational workflows across the business


• Build a strong engineering culture grounded in ownership, accountability, and operational excellence, including talent development and organizational design


• Partner with business and technical leaders to translate enterprise needs into scalable data capabilities and measurable outcomes


• Lead vendor strategy, including build vs buy decisions, contract negotiations, and platform cost optimization

Requirements
The ideal candidate brings deep experience in data platform leadership, enterprise-scale engineering, and cross-functional alignment. You will need

• 10+ years of experience in data engineering, data platforms, or analytics engineering roles, including 4+ years in senior leadership (Director level or above)


• Proven experience leading and scaling large engineering organizations (15+ people), including leadership through other managers or directors


• Strong understanding of modern data stack technologies such as Snowflake, dbt, Airflow, AWS, and GCP, with the ability to guide architecture decisions


• Experience delivering platform modernization initiatives such as cloud migration, infrastructure redesign, or tool consolidation


• Deep knowledge of data pipelines, ingestion frameworks, data modeling, and analytics enablement practices at enterprise scale


• Demonstrated success in cross-functional partnership with business stakeholders, translating ambiguous needs into structured technical solutions


• Strong vendor management experience, including SaaS evaluation, contract negotiation, and cost optimization strategies


• Excellent communication and executive presence, with the ability to present strategy, trade-offs, and outcomes clearly


• Experience operating in fast-paced, high-growth, or transformation environments requiring adaptability and strategic prioritization

• Competitive base salary with additional bonus, equity, and performance-based compensation opportunities


• Comprehensive health, dental, and vision coverage for employees and families


• Flexible remote work arrangements supporting work-life balance


• Generous PTO and paid holidays


• Equity programs and long-term incentive opportunities


• Employee wellness initiatives focused on physical, mental, and lifestyle well-being


• Exposure to large-scale, high-impact engineering challenges in a modern data environment


• Opportunities for executive-level influence and strategic ownership across enterprise systems

This listing is from ats_lever. View original listing ↗