Azure Data Architect
2 days ago
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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