Это чётко очерченная старшая роль в заметной компании из сферы данных и ИИ, с серьёзной технической ответственностью и работой с крупными клиентами; офисный формат ограничивает выбор локации.
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TL;DR
Sr. Solutions Architect (Travel and Hospitality) (Data and AI): Leading complex customer engagements and enterprise data and AI platform adoption with an accent on distributed systems, real-time architectures, lakehouse design, data governance, and cloud-native platforms. Focus on designing multi-workload platforms, driving competitive evaluations, influencing executive stakeholders, and building scalable solutions with Python, SQL, and Spark.
Location: Chicago, Illinois or Dallas, Texas
Salary: $219,100–$301,300 USD annually
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, AI applications, agents, lakehouse workloads, and governance.
What you will do
Drive technical and consumption strategy for complex enterprise customer engagements, influencing platform adoption and revenue growth.
Own senior technical relationships and advise executive stakeholders on enterprise 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 lead evaluations 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, workshops, and community engagement.
Requirements
8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical roles.
Expert-level coding proficiency in Python and SQL; Spark or PySpark is ideally included. A live coding assessment and platform build are part of the interview.
Deep expertise in enterprise data architecture, including distributed systems at scale, streaming and real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated rapid learning ability.
Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
Proven experience driving consumption growth and platform adoption in large accounts.
Executive presence and the ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
Experience leading competitive displacements and complex enterprise evaluations, with strong strategic thinking connecting technical decisions to business outcomes and revenue impact.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
Databricks certifications.
Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
Published thought leadership, including blogs, conference talks, or open-source contributions.
Industry vertical expertise with executive-level domain credibility.
Culture & Benefits
Employment with comprehensive regional benefits and perks.
Inclusive hiring practices and a diverse workplace culture.
Annual performance bonus and equity may be included in the total compensation package.
Work is associated with the Chicago or Dallas location; access to export-controlled technology or source code may require a U.S. government license at the employer’s discretion.
Hiring process
Recruiter screen, hiring manager screen, and design and architecture interview.
Live coding assessment followed by a Build, Demo, Pitch! presentation.
Reference check.
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