Senior Data Lakehouse Architect (databricks), Vice President

STATE STREET

Base: $120,000 - $202,500 annual; bonus/equity: el...
Databricks lakehouse platform expertise
Aws data platform services experience
Delta lake and unity catalog implementation
This role is critical to establishing a secure and scalable data foundation that enables legal analytics and AI use cases while strengthening governance

Job Summary

  • This role is critical to establishing a secure and scalable data foundation that enables legal analytics and AI use cases while strengthening governance.
  • The ideal candidate brings deep expertise in Databricks, AWS data platforms, and enterprise data architecture with experience delivering solutions in regulated environments.
  • Employees are eligible to participate in State Street's comprehensive benefits program, which includes retirement savings plans, insurance coverage, and paid-time off.

Matching Summary

This role is critical to establishing a secure and scalable data foundation that enables legal analytics and AI use cases while strengthening governance.

Salary

Base: $120,000 - $202,500 Annual; Bonus/Equity: Eligible for annual performance-based awards; Benefits: Comprehensive program including 401K match, insurance, and PTO

Skills & Requirements

Must-have

  • Databricks Lakehouse Platform expertise
  • AWS data platform services experience
  • Delta Lake and Unity Catalog implementation
  • Enterprise data architecture design
  • ETL/ELT pipeline development with Spark
  • Data governance and security frameworks
  • Unstructured data processing pipelines

Nice-to-have

  • Legal domain knowledge and compliance
  • Experience with LLM and GenAI platforms
  • RAG architecture for knowledge bases
  • Knowledge graph framework design
  • Regulated industry background
  • Mentoring data engineering teams
  • Federated data model collaboration

Key Requirements

  • 10+ years of experience in data architecture or engineering
  • 5+ years of hands-on experience with Databricks and Apache Spark
  • Bachelor's or Master's degree in Computer Science or related field
  • Strong proficiency in Python, SQL, and PySpark
  • Expertise in data privacy regulations like GDPR

Work Rights

Not specified

Tailored Resume

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