Senior Solutions Architect – Travel and Hospitality

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Lead the technical and consumption strategy for intricate customer engagements, promoting platform adoption and driving revenue growth.

• Manage senior-level technical relationships and provide guidance on enterprise data and AI strategies.

• Oversee complex architecture projects involving multi-workload platforms, enterprise-wide migrations, real-time systems, and scalable AI/ML solutions.

• Serve as a subject matter expert on the Databricks Platform and facilitate a broad impact across the team.

• Mentor team members and coach junior Solutions Architects on technical expertise, customer interaction, and prioritizing use cases.

• Create and implement competitive strategies to position Databricks against both established and emerging platforms.

• Coordinate with Data Solution Architects, Senior Solution Architects, partners, and product teams to provide enterprise-level solutions.

• Contribute to Field Engineering thought leadership through customer-facing materials, workshops, and community involvement.

⛳️ Requirements

• Over 8 years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical position.

• Proficient in coding at an expert level in Python and SQL; familiarity with Spark/PySpark is preferred.

• Completion of a live coding assessment and platform development during the interview process.

• Extensive knowledge in enterprise data architecture, large-scale distributed systems, streaming/real-time applications, lakehouse design patterns, data governance frameworks, and cloud-native platforms.

• In-depth understanding of the Databricks Platform or equivalent expertise in competing platforms, with a proven ability to learn quickly.

• Established technical specialization with recognized proficiency.

• Demonstrated success in driving consumption growth and platform adoption within large accounts.

• Ability to influence Directors, VPs, and C-suite stakeholders regarding long-term data and AI strategies.

• Experience in leading competitive displacements and managing complex enterprise evaluations.

• Strong strategic thinking skills that link technical architecture decisions to business outcomes and revenue implications.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, or equivalent experience.

• Databricks certifications, prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data/AI firm, along with published thought leadership and industry vertical expertise are advantageous.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Equity eligibility.

• A comprehensive array of benefits and perks; specific regional information is available through Databricks benefits documentation.