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12 дней назад

Enterprise Data Engineering Manager, FVP (Fintech)

145 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
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
Enterprise Data Engineering Manager, FVP (Fintech): Leading the development and delivery of enterprise-scale data platforms, including Databricks Lakehouse and GCP services, with an accent on data architecture, scalable infrastructure, and DataOps practices. Focus on building modern Lakehouse platforms, optimizing PySpark pipelines, automating CI/CD and data quality controls, and mentoring data engineering teams.

Location: Onsite in San Diego, Irvine, Los Angeles, Centennial, Las Vegas, Kansas City, Edison, or Omaha, United States. Remote and hybrid work are not available.

Salary: $145,000–$180,000 per year, plus target annual discretionary cash and restricted stock unit bonuses of 10% each.

Company

hirify.global provides digital financial tools and services for individuals, small businesses, and companies.

What you will do

  • Lead the development and delivery of enterprise-scale, mission-critical data platforms, including Databricks Lakehouse and GCP services.
  • Define the roadmap, vision, standards, and quality frameworks for enterprise data engineering and pipeline development.
  • Establish DataOps and CI/CD practices, automating deployment, testing, monitoring, and data quality controls.
  • Design scalable data infrastructure and end-to-end solutions for data sourcing, processing, integration, provisioning, and delivery.
  • Lead, coach, and mentor Data Engineering teams while providing hands-on technical guidance in PySpark, SQL, dbt, Fivetran, and cloud-native development.
  • Partner with cross-functional teams to deliver projects on time and within budget and connect data solutions to business goals.

Requirements

  • Bachelor’s degree in Computer Science, MIS, or a related field.
  • 10+ years of experience managing Data Engineering and Technology teams.
  • 7+ years of experience with SQL Server, database management systems, cloud, and on-premises data ecosystems.
  • 7+ years of experience with cloud-native data ecosystems such as GCP, Azure, or AWS, including BigQuery, Snowflake, or Databricks and SQL/NoSQL databases.
  • Expertise in Databricks and Spark, advanced Python, PySpark, SQL, Fivetran, dbt, data integration, streaming, and modern ELT/ETL technologies.
  • Experience leading technical teams, setting technical direction, building Lakehouse platforms, and applying data architecture to business objectives.

Nice to have

  • Financial Services experience.

Culture & Benefits

  • Medical, dental, vision, and life insurance.
  • Paid sick leave, three weeks of vacation, and approximately 11 paid holidays.
  • HSA or FSA accounts and other voluntary benefits.
  • 401(k) retirement savings plan with employer matching and a 529 savings plan.
  • Employee mortgage loan program and access to an hirify.global account with self-directed trading.

Hiring process

  • Employment offers are contingent on successful credit, criminal background, and pre-employment drug screening.
  • Employment eligibility is verified through the U.S. E-Verify program.

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