Senior Data Architect
3 weeks ago
Job Overview:
Mindware INC is seeking an experienced Senior Data Architect to design and build scalable data architectures using Databricks and Azure data technologies.
About the Role:
This position involves architecting and implementing modern data lake house solutions, ensuring seamless data integration, storage, and processing.
Key Responsibilities:
- Design, build, and manage scalable data architectures using Databricks and Azure data technologies.
- Collaborate with cross-functional teams to gather and translate business requirements into effective technical designs.
- Ensure data quality and governance practices are implemented throughout the data lifecycle.
- Optimize data workflows for performance, reliability, and security using Azure Synapse, Data Factory, and Databricks.
- Develop and enforce best practices in data modeling, pipeline design, and storage architecture.
- Conduct regular assessments of data systems to identify and address performance bottlenecks or areas for improvement.
Requirements:
- 10+ Years of total IT experience in Data engineering and Data warehouse project development.
- 6+ years of hands-on experience with Azure Databricks and expertise in PySpark & Python development.
- Proven expertise in designing and managing scalable data architectures.
- 6+ years' experience with Azure Synapse, Data Factory, and other Azure data technologies.
- 8+ years' experience in data modeling,
- 6+ Years experience with Data pipelines design and implementation, and cloud storage architecture.
- Deep understanding of data quality and governance practices, and hands-on with Data quality and governance using Unity catalog or azure purview.
- Ability to collaborate with cross-functional teams and translate business requirements into technical designs.
Compensation:
$180,000 - $220,000 per year, depending on experience.
Benefits:
- Comprehensive health insurance.
- Retirement savings plan.
- Generous paid time off.
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