Strategic Overview
Sr. Engineering Manager - Data Platform at HighLevel is a leadership opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Lead, recruit, and mentor an exceptional engineering team. Direct data infrastructure strategy to drive business and product success.
The role is listed for United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Platform, Engineering.
Key information at a glance
About This Role
About the Role:
Responsibilities:
Requirements:
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 10+ years of experience in software engineering, SRE or infrastructure, data platform engineering, or related fields.
- Familiarity with Git and CI/CD workflows
- Strong understanding of data warehousing concepts and infrastructure workload management.
Salary & Benefits
Published compensation: USD 220,000 – 290,000 per year
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Senior level in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts.
About the Role:
You will lead a team of highly capable engineers responsible for building reliable, scalable, secure, and developer-friendly data infrastructure. This includes data ingestion and processing, data platforms, storage and compute, orchestration, observability, and the infrastructure that enables teams across the company to efficiently build and operate data-intensive products and applications.
This is a hands-on leadership role: you will set technical direction and organizational strategy while remaining close enough to the technology to make high-quality architectural decisions and guide the team through complex technical challenges.
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.
Leadership & Team Management
Data Engineering Strategy
Cross-Functional Partnership
Technical Leadership
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.
Required Qualifications
Preferred Qualifications
Success in your First Year:
- 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.
Within your first 12 months, you will:
EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
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Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This leadership opening is a useful opportunity for candidates whose experience matches Data Platform, Engineering. Its strongest career signal is the scope of the work itself — particularly Lead, recruit, and mentor an exceptional engineering team. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Platform, Engineering, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.