Solutions Architect - Field Engineering (GCC)

## Responsibilities - Shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. - Help customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. - Grow as a leader in your field while finding solutions to customers' biggest challenges in data engineering, analytics, AI and data science. - Collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. - Guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. ## Requirements - 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise. - Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred. - Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus. - Strong consulting / customer-facing experience working with external clients across a variety of industries. - Coding experience in Python, SQL, Scala, Java, or R. - Experience building distributed data systems at enterprise scale. - Hands-on experience with at least one major public cloud (AWS, Azure, or GCP). - Available to travel to customers in your region and occasionally internationally. ## Nice to Have - Prior experience working in or with a Global Capability Center model. - Databricks Certification. ## Benefits - Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. - Help 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. - Partner 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. - Consult 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. - Work 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. - Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint. - Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.