Architect and own scalable, maintainable, and extensible data models for reliability, automation, lab, and telemetry-generated data.
Lead the design and evolution of database schemas that support cross-test analytics, traceability, repeatability, and long-term platform growth.
Design and implement robust ingestion and transformation pipelines across automated test systems, CI/CD workflows, lab infrastructure, and supporting engineering tools.
Define and standardize shared identifiers, metadata strategies, and data contracts that enable reliable correlation across runs, sessions, devices, builds, environments, and programs.
Enable observability workflows by structuring and integrating metrics, logs, events, and related telemetry into fit-for-purpose systems that support both operational debugging and strategic analysis.

Bachelor’s degree required (preferred field of study in Computer Science, Software Engineering, Data Engineering, or Information Systems)
7+ years of experience in data engineering, analytics engineering, platform engineering, or related roles; or 5+ years of experience with an advanced degree in a related field.
Strong experience architecting relational database schemas and modeling structured engineering or operational data for scale, maintainability, and long-term reuse.
Deep SQL expertise and hands-on experience with relational databases such as PostgreSQL or equivalent platforms.
Strong experience building and evolving ETL/ELT or other data ingestion and transformation pipelines in production environments.
Experience using Python or another programming language for data processing, automation, or integration tasks.
Strong understanding of observability and telemetry concepts, including metrics, logs, events, and time-series data.
Experience creating scalable reporting and visualization solutions in tools such as Grafana, Power BI, Tableau, or similar platforms.
Strong written and verbal communication skills, including the ability to make complex technical concepts understandable and actionable for a broad audience.

Senior Data Engineer, Reliability & Observability

Key skills