Databricks-Powered Supply Chain Data Engineer

Propelsys Technologies LLC; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Propelsys Technologies LLC in the Bay Area seeks a Supply Chain Data Engineer to own data quality, governance, and the Databricks Gold layer. You will implement DQ checks, alerting, SLAs, and data lineage across the data platform to deliver reliable supply chain insights.

You will collaborate with analytics engineers to certify data models, drive AI readiness, and mentor teams on governance practices for scalable, auditable data assets.

Qualifications

• Own data quality alerting and issue management in Databricks with SLAs and root-cause analysis.
• Define metric definitions, calculations and governance standards; mentor analysts and BI developers.
• Govern Databricks Gold layer with certified data models and data lineage.
• Drive AI readiness through tiered data quality assessments and NLP-ready metric outputs.

Responsibilities

• Own data quality alerting, triage, routing, SLAs, and root-cause analysis in Databricks.
• Define and govern metrics, semantic layers, and data lineage across functions.
• Architect and govern the Databricks Gold layer with trusted data models and DQ checks.
• Lead data readiness for AI with completeness, accuracy, and automation assessments.

Skills

Databricks

Data quality ownership

Metrics governance

Data lineage

SQL

Tools

Delta Lake

Lakehouse

Job description

Propelsys Technologies LLC in the Bay Area seeks a Supply Chain Data Engineer to own data quality, governance, and the Databricks Gold layer. You will implement DQ checks, alerting, SLAs, and data lineage across the data platform to deliver reliable supply chain insights.

You will collaborate with analytics engineers to certify data models, drive AI readiness, and mentor teams on governance practices for scalable, auditable data assets.