Enterprise Data Architect - Senior Vice President

Workforcity

Jersey City, New Jersey, United States
Base: $176,720.00 - $265,080.00; bonus/equity: not...
Hybrid
15+ years in technology and data architecture
Proficiency with python for data engineering
Experience with kafka and event-driven integration
The Enterprise Data Architect - Senior Vice President role at Workforcity involves leading the enterprise data architecture strategy across CRM and data science domains while managing a team of 10–15 engineers. The position requires a strong background in data architecture, engineering, and leadership, with a focus on delivering scalable data products and ensuring data governance

Job Summary

  • This position leads the enterprise data architecture strategy across CRM and customer data domains.
  • The SVP will partner with business and technology leaders to define the target-state architecture and deliver high-quality data products.
  • The role includes direct leadership of a team of 10–15 engineers and accountability for building a culture of engineering excellence.

Matching Summary

Match Score: 85

The Enterprise Data Architect - Senior Vice President role at Workforcity involves leading the enterprise data architecture strategy across CRM and data science domains while managing a team of 10–15 engineers. The position requires a strong background in data architecture, engineering, and leadership, with a focus on delivering scalable data products and ensuring data governance.

Salary

Base: $176,720.00 - $265,080.00; Bonus/Equity: Not specified; Benefits: medical, dental & vision coverage; 401(k); life, accident, and disability insurance

Skills & Requirements

Must-have

  • 15+ years in technology and data architecture
  • Proficiency with Python for data engineering
  • Experience with Kafka and event-driven integration
  • Hands-on understanding of CRM data domains

Nice-to-have

  • Experience modernizing legacy data ecosystems
  • Familiarity with data governance frameworks
  • Exposure to enterprise integration patterns

Key Requirements

  • Proven experience defining enterprise data architecture
  • Demonstrated people-management experience leading teams of 10+ engineers

Work Rights

Not specified

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