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Data Architect Lead
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Overview of the Position
We are seeking a seasoned and highly skilled Data Engineer to lead the design, development, and optimization of scalable data pipelines and lakehouse architectures. The ideal candidate will have deep expertise in Microsoft Azure and work closely with cross-functional teams to 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.
- Collaborate 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
- 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 & 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.
