Senior Data Engineer

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📍 San DiegoFull time Direct Hire

About this role

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture, hands-on engineering, technical leadership, and business partnership.

Key Responsibilities

  • Lead the architecture and engineering of the Microsoft Fabric data lake-house, including OneLake, medallion architecture, Spark/SQL, and CI/CD.
  • Provide hands-on technical leadership, mentoring, code reviews, and architectural guidance to data and analytics engineers.
  • Design and build scalable data pipelines integrating 50+ enterprise source systems.
  • Partner with business stakeholders across R&D, Commercial, Manufacturing, Supply Chain, and Corporate functions to translate business needs into data solutions.
  • Manage and technically oversee external implementation partners, ensuring engineering quality and adherence to standards.
  • Establish platform support models, SLAs, monitoring, data quality, incident management, and operational processes.
  • Define and track platform KPIs such as pipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution.
  • Develop the semantic layer, including Power BI datasets, gold-layer views, and self-service analytics.
  • Implement data governance, security, classification, RBAC, sensitivity labeling, and audit requirements.
  • Establish engineering standards for development, testing, branching, documentation, and deployment.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 7–10 years of experience in data engineering, data platforms, or analytics infrastructure.
  • 2+ years of technical leadership experience with data/analytics engineers.
  • Strong hands-on experience with Microsoft Fabric; Databricks or Azure Synapse experience may be considered.
  • Strong proficiency in PySpark, Python, T-SQL, ETL/ELT, and modern data engineering practices.
  • Experience with medallion/layered data architecture at enterprise scale.
  • Experience with DevOps, CI/CD, Azure DevOps/GitHub, and infrastructure-as-code.
  • Knowledge of data governance and quality frameworks such as Microsoft Purview.
  • Experience managing technical delivery from external vendors.

Preferred

  • Biopharma, life sciences, or other regulated-industry experience, including GxP and validation requirements.
  • Experience with Veeva, LIMS, ELN/Benchling, CTMS, EDC, MasterControl, or HRIS integrations.
  • Experience with AI/ML workloads on a lake-house.
  • Microsoft Fabric Data Engineering certification.


Frequently Asked Questions

Is the salary disclosed for the Senior Data Engineer position at numentica?
The salary for this Senior Data Engineer role at numentica is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Data Engineer position at numentica located?
This Senior Data Engineer role at numentica is based in San Diego. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Data Engineer role at numentica full-time or part-time?
This is listed as a Full time Direct Hire position. It is posted as a Senior Data Engineer role at numentica.
How do I apply for the Senior Data Engineer position at numentica?
Click the "Apply Now" button on this page. You will be redirected to numentica's official application portal hosted on zohorecruit where you can submit your application directly.
When was the Senior Data Engineer job at numentica posted?
This Senior Data Engineer position at numentica was posted on Aug 17, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Engineer
numentica
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