Senior Solutions Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Drive the technical and consumption strategy for intricate customer engagements.

• Maintain senior-level technical relationships while providing guidance on enterprise data and AI strategies.

• Lead complex architectural engagements that involve multi-workload platforms, enterprise migrations, real-time systems, and large-scale AI/ML implementations.

• Serve as an expert on the Databricks Platform and promote a horizontal impact across the team.

• Mentor and coach junior Solutions Architects on technical expertise, customer engagement, and prioritization of use cases.

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

• Coordinate cross-functional teams, including Data Science Architects, Solution Architects, partners, and product teams.

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

• Influence platform adoption, consumption, and revenue growth within large accounts.

⛳️ Requirements

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

• Expert-level coding skills in Python and SQL; ideally with experience in Spark/PySpark.

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

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

• Deep expertise in the Databricks Platform or equivalent knowledge in competing platforms with a proven ability to learn rapidly.

• Declared technical specialization with recognized depth in the field.

• A successful history of driving consumption growth and platform adoption in large accounts.

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

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

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

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

• Databricks certifications are a plus.

• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data/AI company is a plus.

• Published thought leadership is a plus.

• Industry vertical expertise with recognized executive-level domain credibility is a plus.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Equity eligibility.

• Comprehensive benefits and perks (specific regional details are provided in Databricks benefits documentation).