
Chief Data Pipeline Architect
2 weeks ago
We are seeking a highly skilled Data Engineer with deep expertise in Microsoft Azure to design, build, and optimize scalable data pipelines and Lakehouse architectures. You will work closely with cross-functional teams to provide thought leadership deliver robust, secure, and high-performance data solutions that empower analytics and data science initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
- Build and optimize lakehouse architectures on Azure using Delta Lake.
- Work closely with client stakeholders to understand their requirements and provide thought leadership to translate the same into technical scripts.
- Implement data ingestion, transformation, and orchestration workflows from diverse sources (APIs, databases, cloud storage).
- Ensure data quality, consistency, and security across the data lifecycle.
- Leverage Azure services such as Data Lake Storage Gen2, Event Hubs, Azure Functions, and Key Vault.
- Implement Infrastructure as Code (IaC) using Terraform or Bicep for automated provisioning and configuration.
- Optimize cloud resource usage for performance and cost-efficiency.
- Design and implement star schema and other data modeling techniques to support analytical workloads.
- Collaborate with analysts and data scientists to deliver advanced analytics solutions.
- Conduct data quality assessments and contribute to data governance initiatives.
- Participate in design reviews, code reviews, and cross-functional planning sessions.
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Chief Data Pipeline Architect
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