Databricks

Data and AI

SolutionsArchitect-FieldEngineering(GCC)

Delhi, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Data and AI
Problems you'll solve

Finding solutions to our customers' biggest challenges

Eligibility Requirements

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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