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HighLevel

Senior Engineering Manager – Data Platform

HighLevel

. Lead the Data Platform & Infrastructure team .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $220,000 - $291,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading data platform and infrastructure teams, with a strong focus on data governance, system architecture, and operational excellence. Proven ability to manage high-performing teams, influence technical strategy, and ensure data security and quality standards.

Highest-signal resume keywords
Data Platform EngineeringTeam LeadershipSnowflakeGoogle BigQueryData Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringInfrastructure ManagementData Warehousing ConceptsData Flow DesignIncident ManagementDisaster RecoveryAutomation Best PracticesPipeline ReliabilityGovernance FrameworksAPIs
Soft Skills
Stakeholder ManagementCommunication SkillsMentoring
Tools & Technologies
AirflowDBTGitCI/CD Workflows
Industry Keywords
Data GovernanceOperational FrameworksResource AllocationVendor Budget PlanningTechnical Strategy

Tech Stack

Tools & technologies
AirflowBigQuery

About the role

Key responsibilities & impact
  • Lead the Data Platform & Infrastructure team
  • Own the strategy, execution, and evolution of foundational data systems
  • Lead, recruit, and mentor an engineering team
  • Direct data infrastructure strategy and oversee resource allocation, headcount, and vendor budget planning
  • Establish operational rhythms, goals, and execution frameworks
  • Guide system architecture, data flow design, quality standards, and platform roadmaps
  • Define platform abstractions, APIs, and SLAs
  • Ensure monitoring, incident management, disaster recovery, and cost optimization
  • Partner with Product, Data, Finance, Security, Audit, and Analytics Engineering
  • Establish standards for pipeline reliability, data security, and quality
  • Advocate for automation and engineering best practices
  • Build leadership succession and develop senior technical leaders
  • Within the first year, improve data governance, increase data-powered products, improve engineering velocity, grow the team, and deliver a scalable roadmap

Requirements

What you’ll need
  • 10+ years of experience in software engineering, SRE or infrastructure, data platform engineering, or related fields
  • 4+ years managing high-performing technical teams and developing people
  • Deep expertise with Snowflake, Google BigQuery, Databricks, or equivalent modern data warehousing systems
  • Experience with ecosystem tools including 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
  • Ability to influence technical strategy across multiple organizations

Benefits

Comp & perks
  • Equal Opportunity Employer
  • Global, remote-first organization
  • Professional development and learning opportunities
  • Team morale and engagement support