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Chief Data Platform Architect
3 weeks ago
Senior Data Architect
We are seeking a highly skilled Senior Data Architect with deep expertise in Microsoft Azure to design, build and optimize scalable data architectures and Lakehouse solutions.
This role involves working 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.
- Design develop and maintain scalable data architectures using Azure Data Factory and Azure Synapse Analytics.
- Build and optimize lakehouse architectures on Azure using Delta Lake.
- Work closely with 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 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.
Benefits
- 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.