Sr. Engineering Manager - Data Platform

Role overview

A senior engineering leader is needed to head the data platform organization that underpins a large-scale, AI-enabled business operating system used by agencies and SMBs worldwide. This is a hands-on people-leadership role focused on setting data infrastructure strategy, partnering with Product, Engineering, Finance, and Go-to-Market leaders, and raising trust in data across the company.

• Recruit, mentor, and grow a high-performing data platform engineering team, including senior technical leaders and succession depth.
• Define and drive the multi-quarter data infrastructure roadmap, including architecture, data flow design, platform abstractions, APIs, and SLAs.
• Partner with Product, Data, and Finance leadership to plan and sequence initiatives that power analytics, reporting, experimentation, and machine learning.
• Ensure resilience, observability, incident response, disaster recovery, and cost efficiency across the platform.
• Establish organization-wide standards for pipeline reliability, data quality, governance, and security in collaboration with Security, Audit, and Analytics Engineering.
• Manage headcount and vendor budgets, and champion engineering best practices that balance execution speed with long-term scalability.

• 10+ years in software engineering, SRE/infrastructure, data platform engineering, or a related field.
• 4+ years managing and developing high-performing technical teams.
• Deep hands-on expertise with modern data warehouses such as Snowflake, Big Query, or Databricks, and orchestration/transformation tools like Airflow and DBT.
• Experience defining data security posture, platform SLAs, and governance frameworks.
• Strong grasp of data warehousing concepts, infrastructure workload management, Git, and CI/CD workflows.
• Proven ability to influence technical strategy across multiple organizations and communicate with executive stakeholders.

• Experience scaling platform teams through rapid company growth.
• Familiarity with event-driven architectures, data science and product analytics workloads, experimentation platforms, ML initiatives, and executive KPI frameworks.
• Track record of delivering customer-facing data products.

• Remote-first organization with global teammates.
• U.S. annual compensation range of approximately $220,000–$291,000, depending on location and experience.
• Equal opportunity employer with affirmative action compliance.