Sr. Solutions Architect - Teleco

Location: Seattle, Washington, United States

Salary: $219,100–$301,300 USD annually, plus potential annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data and AI Platform for building and scaling data applications, analytics, and AI solutions.

What you will do

• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
• Own senior-level technical relationships and advise enterprise stakeholders on data and AI strategy.
• 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.
• Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Mentor junior solutions architects and contribute to customer-facing thought leadership through content, 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/PySpark experience is preferred. The interview includes a live coding assessment and platform build.
• Deep expertise in enterprise data architecture, distributed systems, streaming and real-time systems, lakehouse patterns, data governance, and cloud-native platforms.
• Expert knowledge of the Databricks Platform or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
• Recognized specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Experience driving consumption growth, executive-level influence, competitive displacements, and complex enterprise evaluations; a bachelor's or master's degree in computer science, engineering, or a quantitative discipline is required or equivalent experience.

Nice to have

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

Culture & Benefits

• Comprehensive benefits and region-specific employee perks.
• Inclusive culture and equal employment opportunity practices.
• Potential annual performance bonus and equity eligibility.
• Work with a global Data and AI organization serving more than 20,000 customers.

Hiring process

• Recruiter screen followed by hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
• Reference check.