Azure Data Architect
2 days ago
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:
o 15+ years in data engineering/architecture with a focus on Data Lakehouse
design and implementation.
o Proven expertise in Azure Data Factory, Databricks, Delta Tables, Unity
Catalog, and GitHub.
• Technical Skills:
o Strong programming and scripting skills (e.g., Python, SQL, PySpark).
o Experience with CI/CD pipelines, version control, and workflow automation
using GitHub Workflows.
o 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
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