HighLevel - Sr. Engineering Manager
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. • 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. • Success in your First Year:
Responsibilities
• Leadership & Team Management • 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. • Data Engineering Strategy • 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. • Cross-Functional Partnership • 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. • Technical Leadership • 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. • $220,000 - $290,000 a year
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