Senior Data Governance Specialist

vor 4 Wochen

Munich, Bayern, Deutschland Databricks Vollzeit

Unlock the Power of Data Governance with Databricks

As a Sr Specialist Solutions Engineer - Data Governance, you will be the driving force behind guiding customers in adopting Unity Catalog and Delta Sharing on Databricks. With a customer-facing role, you will work closely with Solution Architects, requiring production deployment experience with data governance solutions and hands-on expertise with cloud data lakes and data warehouses. Your mission is to empower customers to govern their files, tables, machine learning models, and dashboards in the cloud, while collaborating using our sharing technologies.

The Impact You Will Make:

  • Provide technical leadership to guide strategic customers to successful implementations on Unity Catalog and Delta Sharing, from advisory and design to deployment and troubleshooting.
  • Understand the built-in roles and identity concepts in Databricks, and map them to fit organizational requirements.
  • Communicate and educate customers on organizational models of governance and how they map to usage of data governance products in Databricks.
  • Assist Solution Architects with advanced technical sales, including pilot advisory services, custom proof of concept content, workload sizing, and custom architectures.
  • Deliver tutorials and training to enhance community adoption, including hackathons and conference presentations.
  • Contribute to the Databricks Community.

What We Look For:

  • Experience in a technical role with expertise in data governance or data management.
  • Experience with cloud governance tools like Collibra, Alation, Azure Purview, Atlan, Apache Atlas, Privacera.
  • Experience designing and developing a data governance model that supports access control, data isolation, and data sharing.
  • Experience implementing Data Governance Solutions into Production with complex needs.
  • Experience working with Meta Stores and governance policies, roles for cloud data storage systems.
  • Experience with Big Data technologies (e.g., Spark, Hadoop, Kafka).
  • Production programming experience in SQL and Python, Scala, or Java.
  • Experience in a customer-facing or pre-sales/post-sales role.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
  • This role can be remote from Germany, but we prefer you be located in the job listing area and can travel up to 30% when needed.

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