Sr. Engineering Manager - Data Platform
About The Position
HighLevel is seeking a Senior Engineering Manager to lead their Data Platform & Infrastructure team. This role is responsible for the strategy, execution, and evolution of the core data systems that drive insights and the company's ecosystem. The manager will lead a team of engineers focused on building reliable, scalable, secure, and developer-friendly data infrastructure, encompassing data ingestion, processing, platforms, storage, compute, orchestration, and observability. This is a hands-on leadership position requiring the ability to set technical direction and organizational strategy while maintaining a deep understanding of the technology to make architectural decisions and guide the team through complex challenges.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- AI-powered business operating system
- Global, remote-first organization
- Opportunities for innovation and idea celebration
- Support for independence and expanded opportunity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
