Leads a team of about 10 engineers delivering customer-facing data engineering and AI solutions, from discovery and architecture through deployment, debugging, and enablement.
About this role
The Partner Solutions Architect sits in Databricks’ Field Engineering organization and works with Consulting and System Integrator (C&SI) partners supporting customers. The role helps partners enable data teams to deliver projects and integrate the Databricks Data + AI Platform into enterprise ecosystems.
Work includes developing technical champions, providing hands-on Apache Spark programming and product enablement, leading workshops, seminars and meet-ups, and advising partners on big-data analytics architecture and design. Named technologies include Apache Spark, MLflow, Delta Lake, public-cloud services, SQL, Python, Scala and Java, with Hadoop, Kafka, pandas and scikit-learn also cited.
Required qualifications include 5+ years of pre-sales or post-sales experience with external clients or partners, a customer-facing background in data engineering or data science, and experience presenting and whiteboarding technical concepts. Candidates also need public-cloud architecture experience, expertise in data engineering, warehousing or machine learning, and a bachelor’s degree in Computer Science, Information Systems or Engineering, or equivalent work experience.
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The Tokyo-based Director, Field Engineering role is associated with Databricks' Data + AI Platform for data and AI applications, analytics, and agents.
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