Databricks SME

Start Date: ASAP - We can accommodate a reasonable notice period (4 weeks)

Contract Length: 12 Months + Extension

Location: The Hague, NL. 2-3 days on-site 2-3 days remote. Negotiable

Pay: 80 - 120 Euros per hour - Negotiable

Hours: 40h/week

Languages: English ONLY

Engagement Method: Candidate will have to go through payroll.

I am working with a leading energy company that is looking for an experienced Databricks SME will work with Business users on short to medium term customer engagements on their big data challenges using the Databricks platform.

Ideally, we are looking for someone that would be able to start this project as soon as possible, however, we can accommodate a reasonable notice period.

• You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help our business to get most value out of their data.
• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs.
• Guide strategic stakeholders as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks CoE, Project Manager, Architect and Business team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• 5+ years experience with Big Data Technologies such as Spark, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Databricks Certification mandatory.
• Azure Data Engineering mastery.
• ETL mastery.
• Comfortable writing code in either Python or Scala.
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects