
Lead Data Architect
5 days ago
About the Position
We are seeking an experienced Data Architect to lead the design and implementation of scalable data pipelines and Lakehouse architectures.
Key Responsibilities
- Design, develop, and maintain complex data pipelines using Azure services.
- Build and optimize lakehouse architectures on Azure.
- Work closely with cross-functional teams to understand client requirements and translate them into technical scripts.
- Implement data ingestion, transformation, and orchestration workflows from diverse sources.
- Ensure data quality, consistency, and security across the data lifecycle.
- Leverage Azure services such as Data Lake Storage Gen2, Event Hubs, 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.
Required 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, and compliance in Azure.
- Experience with batch and streaming data processing using tools like Structured Streaming or Event Hubs.
Benefits and Requirements
- Growth mindset with a passion for continuous learning and innovation.
- Strong collaboration skills across engineering, analytics, and business teams.
- Robust 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.
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