Назад
2 дня назад

Senior Solutions Architect (Financial Services)

219 100 - 301 300$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Solutions Architect (Financial Services): Designing and delivering Databricks Data Intelligence Platform architectures for strategic banking customers with an accent on big data, cloud services, data engineering, and AI technologies. Focus on leading proof-of-concepts, validating integrations, presenting reference architectures, and guiding customers through complex platform implementations.

Location: Georgia, Massachusetts, New York, or North Carolina; exceptionally qualified candidates in other East Coast locations may also be considered.

Salary: $219,100–$301,300 USD annually, with potential annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data + AI Platform used by organizations worldwide to build and scale data applications, analytics, and AI solutions.

What you will do

  • Partner with sales teams to identify how the Databricks platform can solve customer business problems.
  • Provide technical leadership as financial services customers evaluate and adopt Databricks.
  • Design big data architectures, execute proofs of concept, 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.
  • Travel to meet customers within the assigned territory and build trusted-advisor relationships.

Requirements

  • 8+ years of customer-facing pre-sales or consulting experience, 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 with public cloud providers such as AWS, Azure, or GCP.
  • Experience with data engineering technologies such as Spark, Hadoop, or Kafka.
  • Undergraduate degree or higher in computer science, applied mathematics, electrical engineering, or a related discipline.

Nice to have

  • Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers.
  • Experience with data warehousing technologies such as SQL, OLTP, OLAP, or DSS.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee’s region.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Collaboration with customers, product teams, post-sales teams, partners, and open-source communities.

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