Senior Azure Data Solutions Architect
4 weeks ago
We are seeking a highly skilled and experienced Senior Azure Data Engineer to drive our data strategy, ensure data integrity, and optimize data pipelines for performance.
Key Responsibilities- Data Platform Architecture: Design and architect cloud-based data solutions using Azure Data Services.
- Data Pipeline Development: Build and manage ETL/ELT pipelines using Azure Data Factory, Databricks, and/or Azure Synapse.
- Data Integration: Integrate diverse data sources into Azure data environments.
- Performance Tuning: Optimize database performance, including tuning queries, indexing strategies, and partitioning for big data solutions.
- Data Security & Governance: Implement robust data security policies, ensure compliance with regulatory standards, and manage data governance best practices.
- Monitoring & Troubleshooting: Proactively monitor data environments using Azure Monitor, Azure Log Analytics, and resolve any data pipeline failures or bottlenecks.
- Collaboration: Work with data scientists, analysts, and business stakeholders to translate business requirements into technical specifications.
- Automation & CI/CD: Develop CI/CD pipelines for data solutions using Azure DevOps, ensuring smooth deployment processes.
- Mentoring & Leadership: Provide guidance and mentorship to junior data engineers, fostering a collaborative learning environment.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Experience: 10+ years of experience in data engineering with at least 5+ years in Azure data solutions.
- Azure Expertise: Proficiency with Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, and Cosmos DB.
- ETL/ELT Tools: Extensive experience with Azure Data Factory and other ETL tools (i.e., SSIS, Informatica).
- Big Data Technologies: Experience working with big data technologies like Hadoop, Spark, Databricks.
- Programming Languages: Expertise in SQL, Python, Scala, or other relevant languages.
- Data Warehousing: Strong experience with data modeling and building data warehouses on Azure Synapse or SQL Data Warehouse.
- DevOps for Data: Familiarity with CI/CD tools such as Azure DevOps for automating data workflows and deployments.
- Security & Compliance: In-depth knowledge of data security, privacy regulations (GDPR, HIPAA), and Azure's security frameworks (Azure Active Directory, RBAC, encryption).
- Tools: Experience with Power BI or other visualization tools is a plus.
- Certifications: Microsoft Certified: Azure Data Engineer Associate or equivalent certifications preferred
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