Sr. Engineering Manager - Data Platform

The role

Lead and grow a team of data platform and infrastructure engineers. Own the strategy and execution of the foundational data systems that power insights and the ecosystem. This is a hands-on leadership role.

What you will do

• Lead, recruit, and mentor an engineering team.
• Direct data infrastructure strategy to drive business and product success.
• Oversee headcount and vendor budget planning.
• Guide system architecture, data flow design, quality standards, and platform roadmaps.
• Partner with Product and Data leadership to plan and execute multi-quarter initiatives.
• Define platform abstractions, APIs, and SLAs.
• Ensure infrastructure resilience through monitoring, incident management, disaster recovery, and cost optimization.
• Work with Security, Audit, and Analytics Engineering on compliance controls.
• Enable machine learning, experimentation, and business reporting with Data, Product, and Finance.
• Set organization-wide standards for pipeline reliability, data security, and quality.

Required qualifications

• 10+ years of experience in software engineering, SRE or infrastructure, data platform engineering, or related fields.
• 4+ years managing high-performing technical teams, growing and developing people.
• Deep expertise with Snowflake, Google BigQuery, Databricks or equivalent modern data warehousing systems.
• Experience with tools such as Airflow and DBT.
• Familiarity with Git and CI/CD workflows.
• Strong understanding of data warehousing concepts and infrastructure workload management.
• Experience defining data security, platform SLAs and governance frameworks.
• Excellent stakeholder management and communication skills.
• Demonstrated ability to influence technical strategy across multiple organizations.

Nice to have

• Experience delivering customer-facing data products.
• Experience scaling platform organizations through rapid company growth.
• Familiarity with event-driven data architectures, data science and product analytics computational needs.
• Experience supporting experimentation platforms and machine learning initiatives.
• Knowledge of metrics governance and executive KPI frameworks.

Before you apply

• Visa sponsorship is not mentioned in the posting.
• Not stated whether this is a full-time or part-time role.

About the company

HighLevel is an AI-powered business operating system for agencies, entrepreneurs and small and mid-sized businesses. It has over 2,000 team members across 10+ countries and is a global, remote-first organization.