Supply Chain Data Engineer

Employment Eligibility Statement

Due to specific project and client requirements, this position is open to U.S. Citizens and U.S. Lawful Permanent Residents (Green Card holders). Sponsorship is not available at this time.

Danta Technologies evaluates all candidates in compliance with the Immigration and Nationality Act (INA) and EEOC guidelines. All hiring decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Note

This position is based in the Bay Area, CA, and requires 5 days per week working from the office.

Summary

The customer is looking for a Senior-level Supply Chain Data Engineer who can own Databricks data quality, metric governance, and data platform architecture. They need someone who can design, govern, certify, and maintain trusted data models that business teams can use for reporting, analytics, and AI applications.

Job Description

We are looking for a Senior Supply Chain Data Engineer with strong hands-on experience in Databricks, Delta Lake, data quality engineering, metric governance, and data platform architecture.

The ideal candidate will be responsible for building and governing trusted, business-ready data models within the Databricks Lakehouse environment. This person will own enterprise data quality processes, establish standardized business metrics, architect curated Gold-layer datasets, and drive data readiness for advanced analytics and AI applications.

Key Responsibilities

• Own data quality monitoring, alerting, issue triage, routing, SLA management, root-cause analysis, and resolution within Databricks.
• Develop and maintain data quality checks, anomaly detection, and abnormality monitoring as data pipelines evolve.
• Define, standardize, and govern business metrics and KPIs across multiple business functions.
• Establish metric certification standards and governance processes to ensure accuracy and consistency in official reporting.
• Architect and govern Databricks Gold-layer data models using Delta Lake and Medallion architecture.
• Build certified data models with embedded data quality checks, metric views, and data lineage.
• Collaborate with analytics engineers, data engineers, BI developers, and business stakeholders.
• Drive data readiness for AI by assessing datasets for completeness, accuracy, and automation readiness.
• Enable natural-language querying and AI-driven analytics experiences using certified business metrics.
• Provide technical guidance and mentorship to analysts, data engineers, and BI developers.

Required Skills & Qualifications

• Strong hands-on experience with Databricks and Delta Lake.
• Experience designing and developing curated Gold-layer data models.
• Strong understanding of Lakehouse and Medallion architecture (Bronze, Silver, Gold).
• Experience owning enterprise data quality frameworks, validation checks, and data observability.
• Hands-on experience with anomaly detection, automated alerting, SLA management, and root-cause analysis.
• Experience defining and governing business metrics, KPIs, and metric certification standards.
• Knowledge of semantic layers, metric views, data lineage, and data governance.
• Experience architecting or leading data platform implementations, migrations, or modernization initiatives.
• Strong communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

• Experience with Supply Chain, Manufacturing, Hardware Operations, Logistics, or Semiconductor data.
• Experience with AI-ready datasets, AI/BI, Text-to-SQL, or natural-language querying.
• Experience mentoring and guiding data engineering and analytics teams.
• Senior-level experience in enterprise data platform architecture and governance.

Important Requirements

• Must be available to work onsite in the Bay Area, California.
• Remote candidates will not be considered.
• Strong hands-on Databricks architecture and data governance experience is expected.

Notes

- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.