Senior Data Engineer

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 PeopleWith 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 ImpactEvery 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 PostsAbout the Role:We are looking for a Lead Data Engineer to own the event ingestion and identity layer that connects product instrumentation to downstream analytical systems. This role focuses on the operational reliability and correctness of event and identity data as it moves through the data platform. You will design and operate pipelines, schema validation, and replay workflows that ensure product events remain consistent and safe to use for analytics and customer-facing reporting. You will work closely with product engineering teams on instrumentation patterns, with the CDP team on event contracts and definitions, and with platform teams to ensure event infrastructure and analytical systems scale reliably. This role builds the foundational event and identity datasets required for reliable downstream modeling. Behavioral models, canonical entities, and business analytics datasets are owned by the analytics engineering team.Responsibilities:Define event schemas, required fields, and compatibility rules in collaboration with the CDP teamImplement automated validation and contract enforcement to prevent breaking schema changesMaintain versioning and compatibility guarantees for event producers and downstream consumersBuild and maintain pipelines that ingest, validate, and process high-volume product eventsEnsure event streams are deduplicated, ordered correctly, and safe for downstream consumptionPartner with platform teams to ensure ingestion pipelines scale with product growthDefine and maintain identity stitching logic across anonymous and authenticated usersHandle identity merges, splits, and corrections while preserving tenant boundariesEnsure identity resolution remains explainable, deterministic, and safe for downstream datasetsDesign workflows that allow event datasets and identity graphs to be replayed or rebuilt safelyBuild tooling for historical corrections, schema evolution, and dataset reprocessingEnsure downstream models can be rebuilt without manual intervention when definitions evolveProvide guidance and tooling that help product teams emit events consistentlyMaintain validation checks and schema enforcement that catch instrumentation issues earlyCollaborate with engineering teams to evolve instrumentation safely over timeEnsure deletion and suppression requests propagate correctly through event and identity pipelinesPartner with governance and security teams to support policy requirementsDefine requirements and interfaces for event infrastructure and downstream analytical systemsWork with platform teams to ensure pipelines remain reliable, scalable, and observable.Requirements:7+ years of experience in data engineering, platform engineering, or product data rolesStrong experience building and operating event ingestion or streaming pipelinesExperience implementing schema validation, data contracts, or event governance frameworksStrong SQL and Python, with experience building data processing or validation toolingFamiliarity with identity resolution, entity resolution, or customer identity systemsExperience operating analytical data systems or large-scale event datasetsEEO 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 u