Senior Director, Data Platform & Engineering

Overview

Role

• 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

Benefits

• 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

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