Databricks
Data and AI
SolutionsArchitect-FieldEngineering(GCC)
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“Solutions Architect - Field Engineering (GCC) at Databricks. Skills: Data and AI, Technical Advisor, Architecture, Field Engineering. Serve as trusted technical advisor. Collaborate with internal teams”
Industry & Context.
Finding solutions to our customers' biggest challenges
Available to travel to customers in your region and occasionally internationally
What They're Looking For.
Must Have
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, hands-on architectural experience, experience working with large enterprise or Fortune 500, experience supporting global accounts across multiple geographies, 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)
Nice to Have
Experience working with digital-native or SaaS enterprises with mature data and AI practices, consulting / customer-facing experience working with external clients across a variety of industries, prior experience working in or with a Global Capability Center, Databricks Certification
What You'll Do.
Serve as trusted technical advisor
Collaborate with internal teams
Help customers achieve data-driven outcomes
Integrate platform into enterprise ecosystem
Find solutions to customer challenges
Collaborate with strategic prospects and customers
Partner with regional field teams
Work directly with product and engineering
Drive Databricks roadmap forward
Develop architectures and solutions
Guide customers through competitive landscape
Develop technical champions
durable relationships
Shape and drive customer's AI strategy
Design GenAI and ML architectures
Evaluate build-vs-buy decisions
Turn AI ambitions into production systems
Provide hands-on technical leadership
Consult on modern Lakehouse architectures
Implement proofs of concept
Develop book of business
Define account strategies
Execute account strategies
Collaborate across regions
Support customers with architectural guidance
Become expert in open-source projects
Promote open-source projects
Recruit contributors for open-source projects
How You'll Work.
Team & Collaboration
Collaborating with internal sales, product, and engineering teams; Partnering with their data science, ML, and AI platform teams; Partner with the sales team; Collaborate across regions with fellow Solutions Architects and account teams
Full Job Description
FEQ427R298 As a Senior Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will 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. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our 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. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will 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. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have 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 technica
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