Azure Databricks Solutions Architect
1 day ago
Job Summary:
We are seeking a highly skilled Solution Architect to lead the design and implementation of Azure Databricks solutions for our clients. The ideal candidate will have a strong background in cloud architecture, Azure services, and data engineering.
Key Responsibilities:
- Develop and design scalable, reliable, and secure Azure-based solutions that align with business requirements and technical constraints.
- Lead the implementation of Azure Databricks solutions, including virtual networks, storage, databases, and compute resources, ensuring best practices and high performance.
- Collaborate with stakeholders, including business leaders, IT teams, and developers, to gather requirements and provide technical guidance and solutions.
- Design and oversee the integration of Azure services with existing systems and third-party applications.
- Continuously evaluate and optimize Azure solutions for performance, cost, and scalability.
- Create and maintain comprehensive documentation of architectural designs, implementation plans, and best practices.
- Ensure Azure solutions comply with industry regulations and security standards, implementing appropriate controls and monitoring.
- Stay current with Azure developments and emerging technologies, recommending innovative solutions and improvements.
Requirements:
- Proven experience in delivering enterprise data platform projects in finance domain.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science or a related relevant field.
- Azure certifications such as Azure Solutions Architect Expert (AZ-305) or similar are highly preferred.
- Strong analytical skills, leadership capabilities, effective communication, and problem-solving ability.
- In-depth knowledge of Azure services (e.g., Azure Databricks, Azure Data Factory, Azure DevOps, Azure Compute, Azure Storage, Azure SQL, Azure DevOps), cloud architecture, and best practices.
- Experience in Agile and DevSecOps delivery, quality practices, techniques, test automation and tools required for all aspect of data engineering/ data platforms.
- Experience in adoption of data governance frameworks using Collibra and Unity Catalog.
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