Senior Solutions Architect — Data & AI Platform Strategy

Neon; United States; On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy, while developing a technical specialization and guiding cross-functional delivery teams.

Qualifications

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficient on the Databricks Platform with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations).
• Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
• [Desired] Expertise in one of the following: Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks.
• [Desired] Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies.

Responsibilities

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth.
• Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions.
• Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain.
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs.
• Influence product direction by providing structured feedback on customer requirements and competitive gaps.

Skills

Solutions architecture

Python

SQL

Distributed data systems

Cloud platforms (AWS/Azure/GCP)

Whiteboarding

Communication

Healthcare data standards

Education

Bachelor's or Master's in CS/Engineering or equivalent

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy, while developing a technical specialization and guiding cross-functional delivery teams.