3 дня назад
Sr. Solutions Architect - Digital Native Business (Strategic Accounts)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Solutions Architect - Digital Native Business (Strategic Accounts) (Databricks Data and AI Platform): Leading complex strategic customer engagements, enterprise data architecture, platform adoption, and consumption strategy with an accent on distributed systems, real-time platforms, lakehouse design, governance, and AI/ML at scale. Focus on designing multi-workload architectures, driving competitive displacements, influencing executive data and AI strategy, and building enterprise solutions through coding and platform assessments.
Location: Nevada; remote in Arizona, California, Colorado, Oregon, or Washington
Salary: $219,100–$301,300 USD annually, plus potential performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.
What you will do
- Drive technical and consumption strategy for complex strategic customer engagements, influencing platform adoption and revenue growth.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Own senior technical relationships and advise executives on enterprise data and AI strategy.
- Develop competitive strategies and position Databricks 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 through content, workshops, and community engagement.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark or PySpark is preferred. The process includes a live coding assessment and platform build.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent expertise in competing platforms with demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Strategic account expertise with executive-level domain credibility.
Culture & Benefits
- Benefits and perks are provided according to the employee’s region.
- Potential annual performance bonus, equity, and additional benefits.
- Commitment to an inclusive workplace and equitable hiring practices.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview followed by a live coding assessment.
- Build, demo, and pitch presentation, followed by a reference check.
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