YOUR SKILLS AND EXPERIENCE

• Minimum 7+ years of experience as a Data Architect with experience in designing, developing and implementing Databricks solutions
• Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
• Excellent problem-solving and analytical skills and strong communication and teamwork skills.
• Passion for data and a thirst for learning and is either already a Databricks champion or working towards it
• Relevant Architecture certifications from Mircosft and Databricks

YOUR ROLE

• Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
• Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
• Dsign, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
• Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.
• Be a Databricks champion or on the pathway to become one