
Principal Data Architect
6 days ago
Role Overview
We are seeking a highly skilled data professional to design and implement scalable data solutions in Microsoft Azure.
The ideal candidate will have expertise in designing, building, and optimizing lakehouse architectures and data pipelines using Azure services.
Key Responsibilities:
- Design and develop scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
- Build and optimize lakehouse architectures on Azure using Delta Lake.
- Work closely with cross-functional teams to understand client requirements and provide technical leadership.
- 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, 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.
Required Technical Skills:
- 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.
Soft Skills & 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.
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