Sr Data Architect

Role Overview

Sr Data Architect to design scalable ETL/ELT pipelines on Azure, Databricks, and SAP systems. Role involves building curated datasets for Power BI reporting and AI/ML workloads.

Responsibilities:

• Design and maintain production data pipelines using PySpark, Delta Lake, Unity Catalog in Microsoft Fabric/Databricks environment.
• Integrate enterprise SAP S/4HANA data into the lakehouse architecture.
• Implement robust data quality checks and observability for downstream consumers.
• Create semantic models supporting single-source-of-truth dashboards via Power BI.
• Mentor junior engineers on pipeline design, coding standards (Python/SQL), and CI/CD practices.
• Troubleshoot production issues in a Hub & Spoke model with global stakeholders.

Requirements:

• Bachelor's degree in CS or related field (Advanced preferred).
• 8+ years experience in data engineering, ETL/ELT, and cloud platforms.
• Expertise in Azure Data Factory, Databricks, PySpark, SQL.
• Familiarity with SAP S/4HANA extraction is preferred.
• Experience supporting both BI reporting and AI/ML feature pipelines.
• Willingness to work overlapping hours with US/global teams.

Tech Stack:

Azure Data Lake, Azure Databricks, Microsoft Fabric, Delta Lake, Unity Catalog, Power BI, SAP S/4HANA. Strong software engineering practices in version control and testing required.

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Embecta is an Equal Opportunity Employer committed to diversity without discrimination based on race, color, religion, age, sex, gender identity, disability, veteran status, or other protected statuses.