6 дней назад
Senior Solutions Architect (Databricks, AI)
219 100 - 301 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Databricks/AI): Leading complex enterprise data and AI architecture engagements across migrations, real-time systems, lakehouse platforms, and AI/ML at scale with an accent on technical strategy, platform adoption, and executive stakeholder influence. Focus on designing distributed architectures, driving competitive displacements, orchestrating cross-functional delivery, and mentoring solutions architects.
Location: Atlanta, Georgia; Charlotte, North Carolina; Southeast, United States
Salary: $219,100–$301,300 USD annually
Company
Databricks provides a unified Data and AI Platform for building and scaling data applications, analytics, and AI agents.
What you will do
- Drive technical and consumption strategy for complex enterprise customer engagements.
- Own senior technical relationships and advise executives on data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Develop competitive strategies and position the Databricks Platform against competing solutions.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Mentor junior solutions architects and contribute to customer-facing thought leadership.
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.
- 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 with competing platforms.
- Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
- 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 another leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Industry expertise with executive-level domain credibility.
Culture & Benefits
- Comprehensive benefits and perks are available, with details varying by region.
- Inclusive workplace committed to equal employment opportunity.
- Compensation may also include an annual performance bonus, equity, and additional benefits.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
- Reference check.
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