Sr. Solutions Architect (Data & AI)

Location: Central United States; remote work available in Texas

Salary: $219,100–$301,300 USD annually

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, and AI agents.

What you will do

• Drive technical and consumption strategy for complex enterprise customer engagements.
• Advise senior stakeholders on enterprise data and AI strategy and own executive-level technical relationships.
• Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
• Develop competitive strategies and position Databricks against incumbent and emerging platforms.
• Coordinate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community engagement.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert coding proficiency in Python and SQL; Spark or PySpark experience is preferred.
• Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
• Expert-level Databricks Platform knowledge or equivalent expertise in competing platforms.
• Recognized technical specialization in areas such as real-time architecture, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications.
• Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another leading data and AI company.
• Published thought leadership, conference talks, or open-source contributions.
• Industry expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive employee benefits and regional perks.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Opportunity to contribute to a global Data and AI platform used by organizations worldwide.

Hiring process

• Recruiter screen and hiring manager screen.
• Design and architecture interview, followed by a live coding assessment.
• Build, demo, and pitch presentation, followed by a reference check.