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3 дня назад

Senior Data Architect (Fintech)

180 000 - 220 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Architect (Fintech): Designing, building, and optimizing scalable data pipelines and production-ready machine learning solutions with an accent on Databricks, PySpark, SQL, Azure, and Snowflake. Focus on enterprise data projects, performance tuning, regulatory compliance, and deploying and monitoring machine learning models through robust ML Ops practices.

Location: Remote work is available, with a preference for onsite attendance one day per week at offices in Boston or New York. Listed locations include the United States and Germany.

Salary: US$180,000–US$220,000 per year; an alternative compensation range of €50,000–€60,000 per year is also listed. Additional compensation includes a 10% bonus and stock options.

Company

hirify.global is hiring for a client in the financial services sector, focused on large-scale data platforms and production-ready machine learning solutions.

What you will do

  • Design, build, and optimize scalable data pipelines with Databricks, PySpark, and SQL.
  • Develop solutions using Azure and Snowflake cloud technologies.
  • Collaborate with data scientists, engineers, and business stakeholders to deliver production-grade data solutions.
  • Troubleshoot performance issues and maintain data quality, security, and regulatory compliance.
  • Implement ML Ops practices for the deployment and monitoring of machine learning models.
  • Lead enterprise data projects within a financial services environment.

Requirements

  • Advanced SQL experience, including performance tuning.
  • Expertise with Snowflake data warehousing or Azure Data Lakes.
  • Previous experience in financial services, such as banking, insurance, or fintech.

Nice to have

  • Understanding of ML Ops processes, tools, and model lifecycle management.
  • Strong Python programming skills.
  • Hands-on experience with Databricks and PySpark.

Culture & Benefits

  • Opportunity to work at a fast-growing financial services firm.
  • Remote work option with preferred weekly office collaboration.
  • 10% bonus and stock options.

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