7 часов назад
Sr. Solutions Architect - Agencies (Data & AI)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Solutions Architect - Agencies (Data & AI): Leading complex customer engagements and designing enterprise data and AI architectures with an accent on distributed systems, real-time platforms, lakehouse patterns, governance, and cloud-native technologies. Focus on driving Databricks adoption, orchestrating cross-functional teams, influencing executive stakeholders, and solving large-scale migration and AI/ML architecture challenges.
Location: Northeast, United States
Salary: $219,100–$301,300 USD annually, plus potential performance bonus, equity, and regional benefits.
Company
Databricks develops a unified Data and AI Platform for building and scaling data applications, analytics, and AI agents.
What you will do
- Drive technical and consumption strategies for complex customer engagements, influencing platform adoption and revenue growth.
- Own senior technical relationships and advise enterprise stakeholders 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 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, 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 enterprise data architecture, distributed systems, streaming, 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 architecture, ML/AI platforms, data governance, large-scale migrations, or industry 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 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 employee benefits and region-specific perks.
- Annual performance bonus and equity may be included in the total compensation package.
- Inclusive workplace with equal employment opportunity standards.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview, followed by a live coding assessment.
- Build, Demo, Pitch! presentation and reference check.
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