GoHighLevel - Lead Engineer - Database

We are seeking an experienced Lead Engineer - Databases with deep expertise in Elasticsearch, Clickhouse, and other modern data systems.

You will lead the design, development, and optimization of scalable, high-throughput database solutions that power key products and internal systems.

This role emphasizes performance tuning, efficient data modeling, and the deployment of cloud-native database architectures that can handle both real-time and batch processing at scale.

Responsibilities :

- Design and optimize the usage of Elasticsearch (e. g., Amazon OpenSearch) and Clickhouse for operational and analytical workloads.

- Develop efficient, scalable data models for document, search, and columnar storage patterns.

- Continuously monitor and improve query performance, indexing strategies, and cost-effectiveness of managed services.

- Collaborate closely with engineering, data, and DevOps teams to integrate database best practices into applications and pipelines.

- Ensure high availability and performance of structured, semi-structured, and unstructured data workloads.

- Define and enforce best practices for schema governance, access control, and data lifecycle management.

- Evaluate and benchmark new managed database services to support evolving product needs.

- Automate performance monitoring and alerting using tools such as Datadog, CloudWatch, or equivalents.

Requirements :

- 5+ years of experience working with cloud-managed database platforms.

- Deep expertise in Elasticsearch/OpenSearch (indexing, search relevance, aggregation) and Clickhouse (columnar storage, high-throughput queries).

- Strong experience with SQL and NoSQL systems in production environments at scale.

- Proven ability to optimize query performance and storage in high-scale environments.

- Experience integrating databases with application stacks and streaming pipelines (e. g., Kafka).

- Proficiency in at least two programming languages (e. g., NodeJS, Go, Rust) for automation and tooling.

- Understanding of cloud-native security, RBAC, and compliance requirements.

- Experience with database observability, monitoring, and alerting systems.

Preferred Skills :

- Experience with managed databases such as Firestore, MongoDB, or Redis.

- Exposure to other managed data platforms like BigQuery, DynamoDB, Snowflake, etc.

- Familiarity with distributed systems, multi-region data patterns, and high-availability strategies.

- Background in building or supporting analytics, observability, or search platforms