Head of Data Platforms

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the vision and roadmap for the enterprise data platform focused on Snowflake.

• Define and uphold both logical and physical data architecture, including raw, staging, and curated layers.

• Set platform standards for data ingestion, modeling, and consumption.

• Ensure the platform is prepared for Business Intelligence, analytics, and AI/ML applications.

• Have executive oversight of Snowflake environments, security frameworks, and cost management.

• Establish best practices for ingestion pipelines, schema design, Role-Based Access Control (RBAC), and performance optimization.

• Collaborate with the Security and IT departments on privacy, compliance, and data protection initiatives.

• Lead a small yet impactful Data Platform team consisting of 6–8 members.

• Supervise the ingestion of data from enterprise systems such as registration, eCommerce, finance, inventory, and CRM.

• Ensure the creation of reliable, testable, and thoroughly documented data pipelines.

• Set development standards, Continuous Integration/Continuous Deployment (CI/CD) processes, and operational support models.

• Manage the data and analytics foundation for key Enterprise KPIs.

• Collaborate with business leaders to define, standardize, and validate enterprise metrics.

• Create authoritative data models and semantic definitions within Snowflake.

• Ensure that executive dashboards utilize certified and governed datasets.

• Oversee data quality, reconciliation, lineage, and metric integrity.

• Facilitate scalable self-service analytics while implementing strong governance measures.

• Serve as the sole point of accountability for the integrity of enterprise KPI data.

• Align platform priorities with executive reporting and strategic initiatives.

• Present the platform's readiness, risks, and KPI trust indicators to leadership.

• Collaborate with the Business Intelligence and Finance teams to refine KPI definitions over time.

⛳️ Requirements

• 10+ years of experience in data engineering, analytics platforms, or related fields.

• 5+ years in technical leadership or people management positions.

• Extensive hands-on experience with Snowflake in an enterprise context.

• Strong understanding of cloud data architecture, governance, and the enablement of analytics.

• Demonstrated ability to collaborate effectively with Finance and business stakeholders.

🏝️ Benefits

• Health insurance.

• Professional development opportunities.