Azure Data Architect

Position

Work Location

Experience

Primary Skills

Key Responsibilities:

• Designing and Implementing Data Solutions:

  Architecting and building end-to-end data solutions on Azure, leveraging Databricks, Azure Data Factory, and other Azure services.

• Data Pipeline Development:

  Developing and maintaining data pipelines using Databricks, ensuring seamless data integration and processing.

• Performance Optimization:

  Optimizing Spark jobs for performance and cost-efficiency within Databricks clusters.

• Security and Governance:

  Implementing and maintaining security controls, ensuring compliance with data privacy and regulatory requirements.

• Collaboration and Communication:

  Collaborating with stakeholders, including data analysts, scientists, and business users, to understand requirements and provide technical support.

• Mentorship and Leadership :

  Providing technical leadership and mentorship to team members in multiple pods.

• Data Engineering Expertise:

  Proficiency in data modelling, data warehousing, data integration, and ETL/ELT processes.

• Cloud Computing Knowledge:

  Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization.

• DevOps Practices:

  Familiarity with DevOps principles, version control (e.g., Git), and CI/CD pipelines.

• Problem-Solving and Analytical Skills:

  Strong ability to analyse complex problems, develop creative solutions, and troubleshoot issues.

• Communication and Collaboration:

  Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams.