Take over leading roles (e.g. IT-Architect, Tech Lead, Principal Consultant) in data driven IT projects in the areas of Databricks platform Engineering: project
management and implementation and building strong customer relationships by delivering excellent service.
Land & Expand and sales: recognizing opportunities and risks & using the network in the Cloud Data analytics area.
Demonstrate exceptional communication and presentation skills to effectively engage and persuade customers upon initial interaction
Close cooperation with tech partner and growing Databricks partnership
Analytical thinking regarding internal process optimizations
Coaching of practice members, driving success of the Databricks cluster
Collaboration within the synvert group for Databricks related topics
Nice to have/preferred: Have a strong customer network in the Big Data area and generating new
leads, successfully win small to medium size projects
Must have / Nice to have:
Six years of experience in the area of Platform/ Data Engineering & consultancy
Excellent knowledge of Databricks, and hands-on experience
Experience with managing projects as well as hands-on implementation of the Cloud/ Data Engineering projects
Experience in sales and presales of small to medium size projects is a plus
Network in Data Engineering/Science area EDUCATION
Bachelor/Master’s degree in Computer Science, Physics, Mathematics, Information Management or in similar qualifications
Certifications in Databricks: e.g. Associate or Professional or proven record of delivering projects
Certifications in Cloud/ Data Engineering /Data Science areas TECHNICAL SKILLS § Excellent programming skills (e.g. Java, scala, Python; object -oriented) Any other language considered a plus
Strong technical skills in emerging data technologies, especially in Databricks § Best Practices in designing and setting up data platforms via IaC (with all respective security related requirements)
Deep expertise in one of the following areas in Databricks: Unity Catalog, Data Warehousing, Performance Optimization
Experience with other Big Data technologies such as, Kafka, Microsoft Fabric, Snowflake