
1001 - 5000 employees
Founded 2013
š¤ Artificial Intelligence
š¢ Enterprise
āļø SaaS
š° $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.
š„ 24 minutes ago
š¤ Texas ā Remote
šµ $219.1k - $301.3k / year
ā° Full Time
š Senior
š» Solutions Engineer
š¦ H1B Visa Sponsor
š» Ghost score 2%
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1001 - 5000 employees
Founded 2013
š¤ Artificial Intelligence
š¢ Enterprise
āļø SaaS
š° $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.
⢠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
⢠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
⢠Annual performance bonus eligibility ⢠Equity eligibility ⢠Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)
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