Senior Solutions Architect

šŸ•’ October 6

🤠 Texas – Remote

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šŸ’µ $219.1k - $301.3k / year

ā° Full Time

🟠 Senior

šŸ’» Solutions Engineer

šŸ¦… H1B Visa Sponsor

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šŸ‘» Ghost score 1%

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Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

šŸ¤– Artificial Intelligence

šŸ¢ Enterprise

ā˜ļø SaaS

šŸ’° $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

šŸ“‹ Description

• Drive technical and consumption strategy for complex customer engagements • Own senior-level technical relationships and advise on enterprise data and AI strategy • Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an expert on the Databricks Platform and drive horizontal impact across the team • Mentor others and coach junior SAs on technical depth, customer engagement, and use case prioritization • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams including DSAs, SSAs, partners, and product teams • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement • Influence platform adoption, consumption, and revenue growth in large accounts

šŸŽÆ Requirements

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Completion of a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, distributed systems at scale, streaming/real-time, 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 • Declared technical specialization with recognized depth • Proven track record of driving consumption growth and platform adoption in large accounts • Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Strong strategic thinking connecting 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 experience • Databricks certifications are nice to have • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is nice to have • Published thought leadership is nice to have • Industry vertical expertise with executive-level domain credibility is nice to have

šŸ–ļø Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)

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