Databricks9 дней назад

Solutions Architect

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Pune

Обязанности

01Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders
02Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks
03Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle
04Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications
05Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks
06Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint
07Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community

0112+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role
028+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads
03Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise
04Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred
05Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus
06Strong consulting / customer-facing experience working with external clients across a variety of industries
07Coding experience in Python, SQL, Scala, Java, or R
08Experience building distributed data systems at enterprise scale
09Hands-on experience with at least one major public cloud (AWS, Azure, or GCP)
10Available to travel to customers in your region and occasionally internationally

01Available to travel to customers in your region and occasionally internationally