Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.
About HighLevel:
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.
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:
We are looking for a Senior Engineering Manager to lead our Data Platform & Infrastructure team. This leader will own the strategy, execution, and evolution of the foundational data systems that power insights and our ecosystem.
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.
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.
We encourage you to review our Privacy Policy before submitting your application
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead Atlassian’s TDP SQL engineering team, owning people leadership, platform strategy, roadmap execution, reliability, security, compliance, incident response, technical direction, cross-functional dependencies, infrastructure economics, and operational outcomes. Build a high-performing organization and evolve a scalable managed relational database platform across multiple cloud environments while supporting enterprise requirements such as data residency, encryption, disaster recovery, and tenant isolation.
Top Skills:
Backup And RecoveryCloud InfrastructureDisaster RecoveryDistributed Relational DatabasesEncryptionMulti-Cloud InfrastructureSQLTenant Isolation
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a team of 6–10 engineers building and operating cloud-native platform services. Owns hiring, coaching, delivery, roadmap, reliability, scalability, SLOs, on-call practices, and technical direction across hyperscaler, on-premises, and sovereign environments. Partners with senior engineering stakeholders, reviews designs and code, contributes to architecture and implementation, and communicates risks and trade-offs to leadership. Requires extensive production software experience, Kubernetes and distributed systems expertise, people management experience, hyperscaler knowledge, and familiarity with CI/CD, GitOps, and infrastructure as code.
Top Skills:
AWSAzureCi/CdContainersDistributed SystemsGitopsGoogle Cloud Platform (Gcp)Infrastructure As CodeKubernetes
Healthtech • Software
Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.
Top Skills:
Amazon AthenaApache AirflowApache IcebergSparkAWSAws GlueCi/CdEtl/EltPysparkS3
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
