[Remote] Sr. Engineering Manager - Data Platform

Note: The job is a remote job and is open to candidates in USA. HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale their businesses. The Senior Engineering Manager will lead the Data Platform & Infrastructure team, owning the strategy, execution, and evolution of foundational data systems while guiding architecture, team development, reliability, security, and cross-functional delivery.

Responsibilities

• Lead, recruit, and mentor an exceptional engineering team
• Direct data infrastructure strategy to drive business and product success
• Oversee resource allocation, including headcount and vendor budget planning
• Establish operational rhythms, goals, and execution frameworks aligned with core business outcomes
• Cultivate an inclusive environment focused on ownership, technical rigor, and continuous professional development
• Champion team morale, engagement, learning opportunities, and delivery velocity
• Guide system architecture, data flow design, quality standards, and platform roadmaps
• Partner with Product and Data leadership to plan, sequence, and execute multi-quarter initiatives
• Define robust platform abstractions, APIs, and SLAs to streamline developer workflows and increase adoption
• Ensure infrastructure resilience through comprehensive monitoring, incident management, disaster recovery, and cost optimization
• Work cross-functionally with Security, Audit, and Analytics Engineering to deploy key capabilities and compliance controls
• Engage with Data, Product, and Finance partners to enable machine learning, experimentation, and business reporting
• Establish and enforce organization-wide standards for pipeline reliability, data security, and quality
• Advocate for automation, engineering best practices, and thoughtful trade-offs between execution speed and long-term scalability
• Thrive in fast-paced, ambiguous settings while cultivating senior technical leaders and building leadership succession through delegated autonomy, developing senior technical leaders and succession depth
• Build strong relationships with leaders across Product, Engineering, Finance, and Go-to-Market
• Improve trust in data through stronger governance and controls
• Increase data consumptions and data-powered products across the organization
• Establish scalable development standards and improve engineering velocity
• Grow and mentor a high-performing data platform engineering team
• Deliver a roadmap that supports both current business needs and future scale

Skills

• 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 and ecosystem of tools including Airflow, DBT etc
• 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
• Experience delivering customer-facing data products is a plus
• Experience scaling platform organizations through rapid company growth
• Familiarity with event-driven data architectures, data science & product analytics computational needs and patterns is a plus
• Experience supporting experimentation platforms and machine learning initiatives
• Knowledge of metrics governance and executive KPI frameworks

Benefits

• Remote-first organization with a remote work arrangement

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