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Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Data & AI): Driving technical and consumption strategy for complex enterprise data and AI engagements with an accent on distributed systems, real-time platforms, lakehouse architecture, and executive-level technical leadership. Focus on designing multi-workload platforms, leading migrations and AI/ML deployments at scale, influencing platform adoption, and orchestrating cross-functional teams.
Location: Austin, Chicago, Dallas, or Phoenix, United States
Salary: $219,100–$301,300 USD per year
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-level 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 field engineering 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 experience 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 depth in competing platforms.
- Experience driving consumption growth, platform adoption, 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 top-tier 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 offered according to the employee’s region.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Annual performance bonus and equity may be included in the total compensation package.
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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