Solutions Architect
Databricks · Posted Oct 6
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks is the Data and AI company, and this role sits within a Global Capability Center (GCC) focused Field Engineering team that works with Fortune 500 enterprises and global AI-forward SaaS customers. The team helps customers achieve data-driven outcomes through the Databricks Data Intelligence Platform across data engineering, analytics, AI and data science. This Solutions Architect serves as a trusted long-term technical advisor for named strategic accounts, designing Lakehouse, GenAI and ML architectures and guiding implementations alongside internal sales, product and engineering teams.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
Databricks Newsroom
Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
Databricks Newsroom
Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16