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Chief Data Architect

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Senior Data Engineer Job Description

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 and 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.
Required Technical Skills and Qualifications:
  • Expert-level experience with Azure Data Services: Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake Storage.
  • Strong proficiency in SQL for complex transformations and performance tuning.
  • Advanced Python skills for data pipeline development and orchestration.
  • Experience with Terraform or similar IaC tools for Azure.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with containerization (Docker, Kubernetes) is a plus.
  • Strong understanding of data governance, security (RBAC, VNETs, Managed Identities), and compliance in Azure.
  • Experience with batch and streaming data processing using tools like Structured Streaming or Event Hubs.
Soft Skills and Mindset:
  • Growth mindset with a passion for continuous learning and innovation.
  • Strong collaboration skills across engineering, analytics, and business teams.
  • Robust client management skills
  • Structured problem-solving approach with a focus on scalability and maintainability.
  • Resilient under pressure with a solution-oriented attitude.
  • Excellent communication and documentation skills.
Preferred Qualifications:
  • Microsoft Certified: Azure Data Engineer Associate or equivalent.
  • Experience with Delta Live Tables, Unity Catalog, or MLflow is a plus.
  • Familiarity with GCP or AWS is a bonus.