EMEA Product Specialist

7 days ago


London, Greater London, United Kingdom Databricks Inc. Full time
About the Role

We are seeking a highly skilled and experienced Product Specialist to join our team at Databricks Inc. as a Senior Specialist Solutions Architect - Data Intelligence Platform. This is a unique opportunity to work with our customers to drive adoption of Mosaic AI and shape the future of data intelligence.

Key Responsibilities
  • Thought Leadership: Deliver thought-provoking content on Mosaic AI best practices, including blogs, webinars, and technical guides, to the EMEA technical community and beyond.
  • Adoption and Enablement: Collaborate with sales and field engineering leaders to drive adoption of Mosaic AI across EMEA, providing guidance and oversight for large-scale enterprise scenarios.
  • Product Strategy: Contribute to product strategy and priorities by providing a data-driven perspective on how customers can leverage Databricks in their data strategies.
  • Technical Expertise: Serve as a trusted technical advisor to senior tech leads and executives, providing guidance on complex technical challenges and building an SME group in EMEA field-engineering around Mosaic AI.
  • Customer Success: Act as the level three point of escalation for the toughest technical challenges in the field, driving customer success and ensuring a seamless experience.
Requirements
  • Cloud-Based Data Warehousing: Experience in designing and delivering cloud-based data warehousing solutions in a client or customer environment.
  • Data Warehousing Architecture: Ability to advise customers on data warehousing architecture, preparing Databricks stakeholders for internal conversations and communicating directly.
  • Cross-Cloud Expertise: Help customers build a multi-cloud analytics ecosystem with Databricks at the center, providing solutions for disaster recovery, fault tolerance, and backup.
  • Azure Ecosystem: Certification and/or demonstrated competence in the Azure ecosystem.
  • Lakehouse Architecture: Demonstrated competence in the Lakehouse architecture, including hands-on experience with Apache Spark, Python, and SQL.
  • Communication Skills: Excellent communication skills, both written and verbal.
  • Pre-Sales Experience: Experience in pre-sales selling highly desired.


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