Назад
2 дня назад

Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)

180 000 - 247 500$
Формат работы
remote (только USA)
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

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TL;DR
Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services) (Databricks, Spark, Data Warehousing): Lead technical strategy and design production-grade data engineering, streaming, real-time analytics, and data warehousing solutions for financial services customers with an accent on distributed data systems, cloud platforms, and platform adoption. Focus on designing scalable pipelines and lakehouse architectures, tuning complex workloads, leading senior architecture discussions, and building custom solutions through live coding and debugging.

Location: United States; remote work available

Salary: $180,000–$247,500 USD annually, plus potential bonus, equity, and benefits.

Company

Databricks provides a unified Data + AI Platform for building and scaling data and AI applications, analytics, and agents.

What you will do

  • Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • Lead architecture discussions and design scalable, production-grade data engineering and real-time analytics solutions.
  • Advise customer architects, engineering leads, and directors on technical strategy and trade-offs.
  • Demonstrate platform differentiation through custom-built solutions and drive adoption in competitive scenarios.
  • Develop a technical specialization and coordinate DSAs, SAs, and partners for complex customer solutions.
  • Provide structured customer feedback to influence product direction.

Requirements

  • 6+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
  • Deep experience with Apache Spark, batch ingestion, Kafka or similar message queues, performance tuning, and troubleshooting complex workloads.
  • Strong Python and SQL coding skills, including live coding, debugging, and solution building.
  • Expertise in distributed data systems, streaming architectures, lakehouse patterns, data warehousing migrations, governance, and MPP debugging.
  • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience; willingness to travel up to 30%.

Nice to have

  • Databricks certifications in data engineering, machine learning, or platform technologies.
  • Experience with Snowflake, AWS native services, or Azure Synapse.
  • Experience in a data/AI company or cloud provider.
  • Financial Services or other industry domain expertise.
  • Experience with data observability, security telemetry, anomaly detection, or SIEM tools.

Culture & Benefits

  • Comprehensive benefits and region-specific employee perks.
  • Potential annual performance bonus and equity eligibility.
  • Commitment to an inclusive culture and equal employment opportunity.
  • Remote work option for this position.

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