Роль четко определена с акцентом на архитектуру решений в ведущей компании, а зарплата выше среднего по рынку, что делает эту вакансию привлекательной.
Кликните для подробной информации
Высокая зарплатаЧеткие обязанностиПродуктовая компания
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Solutions Architect (Financial Services) (Databricks Platform/Enterprise Data and AI): Driving technical and consumption strategy for complex financial-services customer engagements with an accent on enterprise data architecture, platform adoption, and executive-level technical influence. Focus on designing distributed, streaming, lakehouse, migration, and AI/ML architectures, leading competitive evaluations, and orchestrating enterprise solution delivery.
Location: United States — Georgia, Illinois, Massachusetts, New York, North Carolina, Texas, Virginia, and Washington, D.C.
Salary: $219,100–$301,300 USD annually, with potential bonus, equity, and benefits.
Company
Databricks develops a unified Data and AI Platform for analytics, applications, agents, lakehouse workloads, and data governance.
What you will do
Drive technical and consumption strategies for complex customer engagements, increasing platform adoption and revenue impact.
Own senior technical relationships and advise enterprise customers 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 experience is preferred.
Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
Expert knowledge of the Databricks Platform or equivalent depth in competing platforms.
Recognized technical specialization in areas such as real-time architecture, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
Experience driving platform adoption, leading competitive displacements, influencing executive stakeholders, and connecting architecture decisions to business outcomes.
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 region-specific benefits and employee perks.
Inclusive workplace with equal employment opportunity practices.
Potential annual performance bonus and equity.
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →