December 12
• As a Senior Solutions Architect, you will shape the future of big data for Fortune 500 companies. • Assist customers with architecture, design, and implementation aligned with Databricks. • Provide technical leadership post-sales, architecting production-level workloads, and delivering tutorials for community adoption.
• Hands-on and technical expertise with Apache Spark. • Hands-on experience with Databricks over large-scale projects. • Databricks Certified Data Engineer Professional certification. • Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP. • Over 5 years of experience as a Software Engineer or Data Engineer. • Proficiency in programming with Python, Scala, or Java. • Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. • Excellent communication skills and comfort in presenting to stakeholders. • Passion for learning new technologies and ensuring customer success. • Desired experience in Data Science/ML Engineering.
• Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow. • Empowerment - Trust is a cornerstone of our culture. • Flexible ways of working – We respect our people to do their work when and how they work best. • Balanced life - We highly value fresh minds, for which we think a healthy work/life balance is essential! • Mentoring from your first day – Continuous support is not just a set of fancy words; your mentor follows you throughout your career path. • Learning & Development opportunities - We are on to a great track!
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