Senior Data Platform Engineer (ClickHouse | OLAP)
About The Position
Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Senior Data Platform Engineer with deep expertise in large-scale analytical databases and real-time data platforms. In this role, you will lead the design, optimization, and scalability of high-performance OLAP systems that power analytics, AI pipelines, and intelligent connectivity platforms. You will architect and optimize distributed analytical databases such as ClickHouse while ensuring the platform can process multi-terabyte datasets efficiently. This role combines data architecture, performance engineering, and platform design, with a strong focus on real-time analytics and large-scale data processing. As a Senior Engineer, you will also guide engineering teams on best practices for data modeling, distributed query optimization, and system scalability, ensuring that data systems deliver reliable insights and support advanced AI-driven workloads.
Requirements
- 5–10 years of experience building and operating data engineering or analytics platforms
- Strong experience working with OLAP databases or analytical data systems
- Experience designing distributed data systems handling multi-terabyte datasets
- Proven experience optimizing high-performance analytical queries and data pipelines
- Experience mentoring engineers and guiding data architecture decisions
- Deep experience with ClickHouse or similar OLAP databases
- Experience with analytical databases such as Druid, DuckDB, or similar systems
- Strong experience managing multi-terabyte data environments
- Deep understanding of distributed data system architecture
- Experience building and operating analytics platforms and data pipelines
- Knowledge of high-performance query optimization
- Experience designing analytical schemas for fast querying
- Experience integrating data platforms with analytics or AI systems
- Advanced English proficiency
- Strong communication and collaboration skills
- Builder mindset with strong curiosity and experimentation attitude
- Ability to explain complex technical concepts clearly
Nice To Haves
- Experience with real-time data streaming architectures
- Experience working with vector databases or AI data pipelines
- Experience with cloud-based data infrastructure
- Experience supporting large-scale analytics platforms
Responsibilities
- Data Platform Architecture
- Architect and optimize large-scale ClickHouse or OLAP databases
- Design distributed data systems capable of handling multi-terabyte datasets
- Define best practices for analytical data models and query performance
- Ensure high availability, scalability, and reliability of data systems
- Performance Optimization
- Tune analytical queries for maximum performance and efficiency
- Optimize storage structures, indexing strategies, and partitioning
- Improve query latency for real-time analytics workloads
- Monitor and address performance bottlenecks in distributed data systems
- Data Pipeline & Platform Integration
- Integrate ClickHouse with analytics platforms, dashboards, and AI pipelines
- Design efficient data ingestion and transformation pipelines
- Support real-time analytics use cases across distributed systems
- Enable downstream consumption by analytics and product teams
- Engineering Leadership
- Mentor engineers on distributed data system design and performance optimization
- Guide teams in building scalable analytics infrastructure
- Contribute to architectural decisions across the data platform
- Promote best practices for data architecture and data reliability
- Cross-Team Collaboration
- Work closely with data scientists, analytics teams, and backend engineers
- Ensure the data platform supports real-time analytics and AI-driven features
- Communicate complex data architecture decisions clearly to technical teams
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
