Teams at Lineate

Build and maintain scalable ETL/ELT pipelines and data platform components. Integrate heterogeneous data sources, clean and normalize inconsistent data, perform record matching and entity resolution without reliable identifiers, and implement data models, quality controls, validation, monitoring, reconciliation, and performance improvements.

Designs, builds, and optimizes ClickHouse-based data infrastructure for large-scale time-series and real-time workloads. Responsibilities include developing ingestion and transformation pipelines, optimizing schemas and queries, supporting lakehouse architecture with Amazon S3, integrating Snowflake and Databricks, managing AWS BYOC deployments, troubleshooting performance and scalability issues, and owning technical decisions.

Maintain reliability, security, and performance of Lineate and customer cloud/on-prem infrastructure. Operate Kubernetes and Databricks, respond to incidents and escalations, perform Linux and Windows administration, support CI/CD pipelines, implement observability and automation (including AI-agent-driven tasks), maintain runbooks, and communicate with customers while participating in 24/7 shift rotations.