4 дня назад
Solutions Architect (Telecommunications)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Solutions Architect (Telecommunications) (Databricks, Data and AI): Leading complex enterprise architecture engagements and driving adoption of the Databricks Data Intelligence Platform with an accent on distributed systems, real-time workloads, lakehouse design, and AI/ML at scale. Focus on designing multi-workload platforms and migrations, influencing executive data strategy, and orchestrating cross-functional teams to deliver enterprise solutions.
Location: Remote - Texas; candidates in other locations will also be considered. Travel to customers up to 30% of the time.
Salary: $219,100–$301,300 USD annual base salary, depending on pay zone and candidate-specific factors. Total compensation may also include an annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for data science, analytics, applications, and AI agents, serving more than 20,000 organizations worldwide.
What you will do
- Drive technical and consumption strategies for complex enterprise customer engagements.
- Advise senior stakeholders on enterprise data and AI strategy and platform adoption.
- 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 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/PySpark experience is preferred for the role.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert knowledge of the Databricks Platform or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
- 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; executive-level communication skills are required.
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.
- Telecommunications industry expertise with executive-level domain credibility.
Culture & Benefits
- Customer-centric, proactive culture focused on innovation, creativity, experimentation, and continuous improvement.
- Comprehensive benefits and perks, with details varying by region.
- Annual performance bonus and equity may be included in total compensation.
- Inclusive hiring practices and a diverse working environment.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
- Reference check.
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