Related skills
java sql python scala apache spark📋 Description
- Be the trusted technical advisor for named strategic accounts.
- Help shape the customer's AI strategy; design GenAI/ML architectures.
- Partner with the sales team to provide hands-on technical leadership.
- Consult on Lakehouse architectures and PoCs across data/ML.
- Work with sales to develop book of business and account strategies.
- Collaborate across regions and promote Databricks open-source projects.
🎯 Requirements
- 12+ years in data engineering, data science, or pre-sales/consulting.
- 8+ years in Big Data/AI tech, incl. Spark, data engineering, AI/ML workloads.
- Strong hands-on architectural experience - design and build end-to-end solutions.
- Experience with large enterprise or Fortune 500 customers; global accounts across geographies.
- Coding in Python, SQL, Scala, Java, or R.
- Hands-on cloud experience with AWS, Azure, or GCP.
🎁 Benefits
- Comprehensive benefits and perks (region details in linked page).
- Inclusive culture with a strong diversity and inclusion commitment.
- Access to Databricks benefits resources and community programs.
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