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Sr Specialist Solutions Engineer - Data Engineering

Databricks

Databricks

Data Science
Munich, Germany
Posted on Jun 14, 2024

As a Sr Specialist Solutions Engineer (SSE) - Data Governance, you will guide a variety of customers in adopting Unity Catalog (a unified data governance solution) and Delta Sharing (a secure data sharing platform) on Databricks. for a variety of different customers. You will be in a customer-facing role, working with and supporting the Solution Architects, which requires production deployment experience with data governance solutions and hands-on experience with cloud data lakes and data warehouses. You will help customers learn how to use our products to govern their files, tables, machine learning models, and dashboards in the cloud and to collaborate using our sharing technologies. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the area of data governance.

The impact you will have:

  • Provide technical leadership to guide strategic customers to successful implementations on Unity Catalog and Delta Sharing, ranging from advisory and design to deployment to troubleshooting.
  • Understand the built-in roles and identity concepts in Databricks, and how to map those 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 more advanced aspects of the technical sale including pilot advisory services, custom proof of concept content, estimating workload sizing, and custom architectures.
  • Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
  • Contribute to the Databricks Community

What we look for:

  • 3+ years experience in a technical role with expertise in data governance or data management.
  • Experience with any cloud governance tools like Collibra, Alation, Azure Purview, Atlan, Apache Atlas, Privacera, Inmmuta…etc
  • Experience in designing and developing a data governance model that supports different layers of access control, data isolation and data sharing
  • Experience implementing Data Governance Solutions into Production with complex needs.
  • Experience working with Meta Stores (e.g., Hive Metastore) and governance policies, roles for cloud data storage systems.
  • 2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka)
  • Production programming experience in SQL and Python, Scala, or Java.
  • 2 years customer-facing experience in a pre-sales or 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 that you be located in the job listing area and can travel up to 30% when needed.

Benefits

  • Private medical insurance
  • Life, accident & disability insurance
  • Pension Plan
  • Vision Reimbursement
  • Equity awards
  • Enhanced Parental Leaves
  • Fitness reimbursement
  • Annual career development fund
  • Home office & work headphones reimbursement
  • Business travel accident insurance
  • Mental wellness resources
  • Employee referral bonus

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.