Senior Azure Data Solutions Architect

4 weeks ago


Remote, India Quantumbricks Full time
Job Overview

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.
Required Skills & Qualifications
  • 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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