обновлено 8 дней назад
Senior Solutions Architect (Financial Services)
219 100 - 301 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Financial Services): Designing data and AI architectures on the Databricks Data Intelligence Platform for strategic banking customers with an accent on big data, cloud integrations, and customer-facing solution delivery. Focus on executing proof-of-concepts, validating distributed data systems, presenting reference architectures, and guiding customers through implementation.
Location: Georgia, Massachusetts, New York, or North Carolina; exceptionally well-qualified candidates in other East Coast locations may also be considered. The role includes travel to meet customers in the assigned territory.
Salary: $219,100–$301,300 USD annually, with potential annual performance bonus and equity.
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, AI applications, and agents.
What you will do
- Partner with sales teams to identify customer use cases and explain how the Databricks platform addresses business challenges.
- Provide technical leadership as customers evaluate and adopt Databricks.
- Design big data architectures, execute proof-of-concepts, and validate integrations with cloud services and third-party applications.
- Build and present reference architectures, technical guides, and application demonstrations.
- Promote Apache Spark, Delta Lake, MLflow, and Unity Catalog through developer communities, meetups, conferences, and webinars.
- Build customer relationships, develop champions, act as a trusted advisor, and travel within the assigned territory.
Requirements
- 8+ years of experience in customer-facing presales or consulting roles, preferably with big data technologies.
- Experience designing and architecting distributed data systems.
- Programming and debugging experience with at least one of Python, SQL, Scala, Java, or R.
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
- Experience with data engineering technologies such as Spark, Hadoop, or Kafka.
- Experience with data warehousing technologies such as SQL, OLTP, OLAP, or DSS, plus an undergraduate degree or higher in engineering, mathematics, computer science, or a related discipline.
Nice to have
- Experience with global system integrators, consulting organizations, financial services technology, or financial services data providers.
Culture & Benefits
- Comprehensive employee benefits and region-specific perks.
- Annual performance bonus and equity may be included in the compensation package.
- Inclusive workplace committed to equal employment opportunity and diversity.
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