Data Architect

3 days ago

Vizag, Andhra Pradesh, India beBeeData Full time US$ 1,70,000 - US$ 1,90,000
Cloud Integration Specialist

Boston Insights transforms pharmaceutical supply chains through innovative data solutions. We augment risk resiliency and agility to ensure uninterrupted supply of investigational drugs to patients on-time.

Our mission is to unlock clinical supply chain data and enable end-to-end visibility.

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.
  • Design and implement data lake and data warehouse solutions on Azure platform.
  • 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.
  • Define and enforce data governance frameworks: data cataloging, lineage, quality, privacy, and compliance.
  • Implement robust data validation, cleansing, and monitoring systems to ensure accuracy and reliability.
  • Support security standards through effective data management practices.
  • Develop data automation tools and reusable components using Python, PySpark (and other relevant frameworks/languages).
  • Enable end-to-end process automation for data ingestion, processing, and reporting.
  • Implement CI/CD processes for data solutions, including testing, monitoring, and alerting.
  • Collaborate with data scientists and analysts to support advanced analytics.
  • Build data models that enable risk assessment and supply chain optimization.
  • Develop APIs and data services to support front-end applications.
  • Create monitoring and alerting systems for data pipeline health.
  • Partner with supply chain, analytics, and business stakeholders to understand business requirements and translate them into scalable technical solutions.
  • Collaborate with SAP functional and technical teams to optimize data extraction and synchronization.

The ideal candidate will have strong experience in data governance and building data automation tools using Python and related languages. A strong background in Agile development methodologies and excellent communication skills are also required.

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