FEQ225R48
As a Sr. Specialist Solutions Engineer (Sr.SSE) - Data Governance, you will guide 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. 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 within Databricks.
Note : we are open to accept applications from across the country (i.e. outside of Munich). #LI-Onsite
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.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
- Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
- Production deployment experience with data governance solutions and hands-on experience with cloud data lakes including managing Identity Access Management (IAM) and Identity providers
- Production programming experience in SQL and Python, Scala, or Java.
- 2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
- 2 years customer-facing experience in a pre-sales or post-sales role
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire
- This role can be remote, but we prefer that you are located in the job listing area and can travel up to 30% when needed.
Benefits
- Private medical insurance including medical, dental, and vision
- Life, accident & disability insurance
- Pension Plan
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office and work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus
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.
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.