Senior Supply Chain Data Engineer, Databricks & Governance

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

Job summary

Galent is seeking a Senior Supply Chain Data Engineer to drive data quality, governance, and analytics architecture on a Databricks-based platform. You will lead data quality monitoring, observability, and governance across the data landscape to support supply chain operations.

The role requires hands-on Databricks expertise, experience with Lakehouse/Medallion architectures, and mentoring teams on governance best practices for enterprise reporting.

Qualifications

• Strong hands-on experience with Databricks and Lakehouse architectures.
• Experience with data governance, data quality frameworks, and large-scale data transformations.
• Mentor analysts, BI developers, and data engineers on governance best practices.
• Experience defining and governing enterprise-wide metric definitions.
• Architect Databricks Gold Layer and certified data models.

Responsibilities

• Own end-to-end data quality monitoring and issue management within Databricks.
• Design and maintain data quality alerts, anomaly detection, and observability frameworks.
• Manage issue triage, routing, SLA adherence, root-cause analysis, and resolution.
• Ensure data quality and abnormality checks align with evolving data pipelines.
• Provide regular reporting on data quality health and compliance metrics to stakeholders.
• Define and govern enterprise-wide metric definitions, calculations, and measurement standards.
• Establish certification criteria and governance controls for production reporting.
• Drive metric consistency across business and technical teams.
• Mentor analysts, BI developers, and data engineers on governance best practices.
• Partner with analytics engineering teams to architect and govern the Databricks Gold Layer.
• Develop certified data models with embedded: Anomaly detection mechanisms; Metric views.
• Support enterprise data governance and reporting initiatives.
• Lead data readiness assessments for AI and advanced analytics initiatives.
• Accuracy; Consistency; Automation readiness; Enable natural language access to certified metrics and reporting assets.

Skills

Databricks

Lakehouse Architecture

Medallion Architecture

Data Quality Frameworks

Data Observability

Anomaly Detection

Alerting & Monitoring

SLA Management

Metric Definitions

Semantic Layer Design

Metric Views

Data Catalogs

Data Platform Modernization

Data Migrations

Tools

Databricks

Job description

Galent is seeking a Senior Supply Chain Data Engineer to drive data quality, governance, and analytics architecture on a Databricks-based platform. You will lead data quality monitoring, observability, and governance across the data landscape to support supply chain operations.

The role requires hands-on Databricks expertise, experience with Lakehouse/Medallion architectures, and mentoring teams on governance best practices for enterprise reporting.