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Lead Data Engineering SME

ACL Digital

 

Atlanta, GA, USA

Posted On: 12 days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: Lead Data Engineer
Tenure: No Preference/Any
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Description

You will serve as the primary subject matter expert for commercial operations in Life Sciences, bridging complex business needs with technical data solutions.

This role is on-site.

Responsibilities

  • Lead the design, implementation, and optimization of scalable data pipelines within the Azure ecosystem.
  • Translate commercial business requirements from Sales, Marketing, Incentive Compensation, and Claims into actionable data engineering solutions.
  • Direct the integration of diverse datasets, including Patient Data and Longitudinal Access and Adjudication Data (LAAD).
  • Develop data governance frameworks to ensure high data quality, security, and compliance with HIPAA and GDPR.
  • Design business intelligence solutions and dashboards to support senior commercial leadership decision-making.

Required Skills

  • 8+ years of experience in commercial operations within the Life Sciences industry.
  • 5+ years of hands-on Data Engineering experience managing large datasets.
  • Proficiency with Azure Data Services: Azure Data Lake, Azure SQL, Azure Databricks, and Azure Synapse.
  • Expertise in SQL and Python for building data models and pipelines.
  • Strong understanding of ETL processes and data lake architectures.
  • Deep knowledge of Sales, Marketing, Incentive Compensation (IC), and Claims data.
  • Experience managing Longitudinal Access and Adjudication Data (LAAD).

Preferred Skills

  • Functional understanding of data warehousing and business intelligence.

Education

Any Graduate

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