Data Engineer
Posted 26 Aug 2026
Advertised as “Senior | Architect Data Engineer (ClickHouse)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- Individual contributor
No salary listed for this role.
About Lineate
Lineate is a US-based international software development company with over two decades of experience.
From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.
We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.
Our expertise falls into three main categories:
- Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
- Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
- Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
- Our goal is not just to build technology, but to build the future operating model for our clients.
Role Overview
We are looking for a senior Data Engineer / ClickHouse Engineer with deep hands-on expertise in ClickHouse and AWS. The role focuses on building and optimizing high-performance data infrastructure for large-scale time-series and real-time workloads in a lakehouse environment.
Key Responsibilities
- Design, implement, and optimize ClickHouse for large-scale analytical and time-series workloads.
- Build and maintain data ingestion and transformation pipelines.
- Optimize ClickHouse schemas, partitioning, materialized views, aggregations, and queries.
- Support real-time and near-real-time query serving, ensuring performance and reliability.
- Work with a lakehouse architecture, using Amazon S3 as the source of truth.
- Integrate ClickHouse with Snowflake, Databricks, and other components of the data ecosystem.
- Support ClickHouse infrastructure and BYOC deployments on AWS.
- Troubleshoot data ingestion, storage, scalability, and performance issues.
- Own technical decisions and clearly communicate solutions and trade-offs to stakeholders.
Requirements
Must-have
- 6+ years of Data Engineering experience.
- Strong production-level ClickHouse experience.
- Deep knowledge of ClickHouse data modeling, table engines, partitioning, ordering, materialized views, aggregations, and query optimization.