Response Informatics | Azure Data Architect | hyderabad
2 days ago
We are seeking an experienced Azure Data Architect with a strong background in designing and implementing enterprise-scale Data Lakehouse architectures. The ideal candidate will have 15+ years of experience in data engineering and architecture, with expertise in Azure Data Factory, Azure Databricks, Delta Tables, Unity Catalogs, GitHub, and GitHub Workflows. The candidate will play a key role in building scalable, secure, and optimized data solutions to enable data-driven decision-making across the organization.
Key Responsibilities:
Architect and Design Solutions : Lead the design and implementation of Data Lakehouse architectures using Azure technologies such as Data Factory, Databricks, Delta Tables, and Unity Catalog .
Data Integration: Develop and implement pipelines to ingest, transform, and integrate data from various sources using Azure Data Factory and Databricks.
Data Governance and Security: Establish and enforce best practices for data governance, security, and compliance using tools like Unity Catalog and Azure RBAC .
Collaboration and Version Control: Leverage GitHub and GitHub Workflows to manage version control, CI/CD pipelines , and collaboration across teams.
Performance Optimization: Optimize the performance of data pipelines and storage for scalability and efficiency, ensuring minimal downtime and high availability.
Stakeholder Engagement: Work closely with business stakeholders to gather requirements and translate them into technical solutions aligned with business objectives.
Documentation and Training: Prepare architectural documentation and conduct knowledge-sharing sessions to upskill team members.
Emerging Trends: Stay updated on emerging trends in data architecture, Azure technologies, and industry best practices.
Qualifications:
Experience:
15+ years in data engineering/architecture with a focus on Data Lakehouse design and implementation.
Proven expertise in Azure Data Factory, Databricks, Delta Tables, Unity Catalog , and GitHub.
Technical Skills:
Strong programming and scripting skills (e.g., Python, SQL, PySpark).
Experience with CI/CD pipelines, version control, and workflow automation using GitHub Workflows.
Solid understanding of data governance, security, and compliance practices.
Azure Certification:
Azure certification (e.g., Azure Solutions Architect, Azure Data Engineer Associate ) is desirable but not mandatory .
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities to work effectively with cross functional teams.
Preferred Skills:
Familiarity with Power BI or other visualization tools.
Knowledge of machine learning and advanced analytics pipelines.
Experience with multi-cloud or hybrid cloud environments.
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