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We are seeking a Lead Data Strategist to join our Field Engineering organisation in EMEA. In this role, you will work side-by-side with Databricks’ strategic customers, as well as partner with regional leaders and account teams. You will act as a visionary and an innovative industry expert and have the opportunity to apply your successful track record of realising Data & AI transformation within large global institutions. 🚀
You will drive global, cross-industry adoption of the Lakehouse architecture through sustained thought leadership at the CXO-level. To serve as a trusted advisor to our top customers as well as providing application and experience of large scale data transformation to guarantee success using the Databricks platform. Support and guarantee data transformation success through people and process change and evolve the organisation to adopt the change.
This is a high impact position with responsibilities including supporting strategic sales opportunities with account teams, closely following industry trends and direction to shape engineering and product priorities, and regularly evangelising Databricks solutions and how we can lead customers through Data & AI transformation at industry conferences, trade shows, and with industry press and analysts. It is a unique role for the well-rounded technologist at heart with a leadership background in data transformation who possesses deep industry knowledge in this space and a passion for evangelising.
The impact you will have:
What we look for:
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.
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.
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
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