Data Architect – Supply Chain Solutions

2 days ago

Meerut, Uttar Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Data Architect – Supply Chain Solutions

About the Role:

The ideal candidate will be responsible for designing and implementing scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. They will also lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses (such as S3, Redshift) and SAP systems.

In addition, they will automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments. They will also build and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources.

The successful candidate will have a strong understanding of data architecture and infrastructure design. They will establish data governance frameworks and ensure data quality across all pipelines. They will also implement security best practices for handling sensitive pharmaceutical data.

Furthermore, they will create and maintain data documentation and lineage tracking. They will define and enforce data governance frameworks: data cataloging, lineage, quality, privacy, and compliance.

The ideal candidate will have excellent problem-solving and analytical thinking abilities. They will have experience with Agile development methodologies and attention to detail. They will also commit to delivering high-quality results.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
  • Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses (such as S3, Redshift) and SAP systems.
  • Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.
  • Build and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources.
  • Establish data governance frameworks and ensure data quality across all pipelines.
  • Implement security best practices for handling sensitive pharmaceutical data.
  • Create and maintain data documentation and lineage tracking.

Required Skills and Qualifications:

  • 5+ years of professional data engineering experience.
  • Data Integration: Proven track record integrating data from AWS services (S3, Redshift, Glue, etc.) into Azure or other cloud environments.
  • Azure Data Services: Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Data Bricks, Azure Data Lake Storage, and Azure SQL Database, Apache Spark.
  • Database Technologies: Strong knowledge of both relational (SQL Server, PostgreSQL) and NoSQL (Cosmos DB) databases.
  • Programming Languages: Proficiency in Python, SQL, PySpark and PowerShell for data automation and wrangling.
  • Version Control: Proficiency with Git and Azure DevOps.

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