Technical/Functional Skills
MUST HAVE SKILLS
- Experience: Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Data bricks.
- Technical Skills:
- Proficiency with Azure Data bricks, Apache Spark, and data processing frameworks.
- Strong experience with Azure services (e.g., Azure Data Lake, Azure Synapse, Azure SQL).
- Familiarity with data modeling, ETL processes, and data warehousing concepts.
- Knowledge of programming languages such as Python, Scala, or SQL.
Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to manage multiple projects and prioritize tasks effectively.
Certifications (Preferred):
Azure Data Engineer or Azure Solutions Architect certifications.
Roles & Responsibilities
- Architecture Design: Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems.
- Implementation: Lead the implementation of Azure Databricks solutions, ensuring best practices for performance, security, and data governance.
- Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
- Optimization: Monitor and optimize data workflows and queries for performance and cost efficiency.
- Collaboration: Work closely with data engineers, data scientists, and business stakeholders to understand requirements and deliver effective solutions.
- Governance: Ensure data governance and security policies are implemented and adhered to within the Databricks environment.
- Documentation: Create and maintain documentation for architecture, processes, and best practices.
- Mentorship: Provide guidance and mentorship to junior team members and help them with technical challenges.
