Senior Data Lakehouse Architect (Databricks), Vice President

Senior Data Lakehouse Architect (Databricks), Vice President

Corporate Functions Technology

Who We Are Looking For

We are seeking aSenior Data Lakehouse Architect to design and lead the build-out of aLegal Data Lakehouse platform on AWS and Databricks. This role will drive the architecture, engineering, and governance of scalable, secure, and compliant data capabilities supporting legal operations, contract intelligence, eDiscovery, and AI/ML use cases.

The ideal candidate brings deep expertise inDatabricks, AWS data platforms, and enterprise data architecture, with experience delivering solutions inregulated environments aligned to security, compliance, and audit requirements.

Why This Role Is Important to Us

State Street’s Legal function operates across a broad set of contracts, matters, regulatory obligations, documents, and workflows that are distributed across multiple systems and formats. Building a modern Legal Data Lakehouse is critical to creating a trusted, governed foundation that brings these data sources together—making legal information easier to access, analyze, and use at scale.

This role is critical to establishing a secure and scalable data foundation that enables legal analytics and AI use cases while strengthening governance, auditability, and global consistency across Legal.

What You Will Be Responsible For

1. Architecture & Platform Design

• Define and implement theend-to-end Legal Data Lakehouse architecture using Databricks (Delta Lake, Unity Catalog, Workflows) on AWS
• Designmulti-layered data architecture (Bronze, Silver, Gold) to support:
  • Contract metadata and document ingestion
  • Legal matter management data
  • eDiscovery datasets
  • External regulatory and compliance feeds
• Establishscalable ingestion frameworks (batch and streaming) for structured and unstructured legal data (PDFs, contracts, emails)

2. Data Engineering & Integration

• Lead development ofETL/ELT pipelines using Databricks, Spark, and Python/SQL
• Integrate with enterprise platforms, including:
  • Contract lifecycle management systems
  • AI platforms and LLM pipelines
  • Document repositories and enterprise content systems
• Design patterns forextracting structured data from unstructured legal documents and persisting into Delta Lake
• Enable downstream integration withenterprise data platforms, analytics tools, and AI/ML pipelines

3. Governance, Security & Compliance

• Implement data governance frameworks usingDatabricks Unity Catalog and AWS-native controls (IAM, KMS)
• Establish:
  • Fine-grained access controls (row/column-level security)
  • Data lineage and auditability
• Ensure compliance with:
  • Data privacy regulations (e.g., GDPR)
  • Internal security and audit requirements
• Partner with IAM teams to integrate withenterprise identity providers (e.g., Entra ID / Azure AD)

4. AI/ML & Advanced Analytics Enablement

• Architect data models supporting:
  • Contract analytics, clause extraction, and obligation tracking
  • Legal AI use cases (contract review, litigation insights, compliance monitoring, legal spend analytics)
• Designsearch and retrieval architectures (RAG) for enterprise legal knowledge bases
• Enableentity extraction and knowledge graph frameworks
• Integrate withLLM/GenAI platforms to support capabilities such as document summarization, Q&A, and workflow automation

5. DevOps & Platform Operations

• EstablishCI/CD pipelines and infrastructure-as-code (Terraform, Git-based workflows)
• Define standards for:
  • Code quality and versioning
  • Environment promotion (Dev / QA / Prod)
• Implementobservability and alerting for platform health and reliability

6. Leadership & Stakeholder Engagement

• Partner withLegal and Technology leadership to define platform roadmap and priorities
• Provide architectural governance and design oversight
• Mentor data engineers and platform teams
• Translate business and legal requirements intoscalable, enterprise-grade solutions
• Operate within afederated data and platform model, collaborating across engineering, security, and domain teams

What We Value

The skills that will help you succeed in this role include:

• 10+ years of experience indata architecture, engineering, or analytics platforms
• 5+ years of hands-on experience withDatabricks and Apache Spark
• Strong experience withAWS-based data platforms
• Expertise indata governance, security, and compliance in regulated environments
• Experience working withunstructured data and NLP/document processing pipelines

Education & Preferred Qualifications

Education

• Bachelor’s or Master’s degree inComputer Science, Data Engineering, Information Systems, or a related technical discipline
• Relevant certifications strongly preferred:
  • Databricks Certified Data Engineer / Architect
  • AWS Certified Solutions Architect (Associate or Professional)

Preferred Qualifications (Core – Databricks, AWS, Data Lakehouse)

• Strong hands-on experience with theDatabricks Lakehouse platform, including Delta Lake, Unity Catalog, Workflows, and MLflow
• Deep expertise inAWS data platform services, including S3, Glue, EMR, Lambda, Redshift, and IAM
• Proven experience architecting and deliveringenterprise-scale data lakehouse solutions on AWS using Databricks
• Advanced proficiency inApache Spark (PySpark/Scala), SQL, and Python
• Strong understanding ofdata governance and security, including access controls, metadata management, and encryption (KMS, CMK/BYOK)
• Experience buildingend-to-end data pipelines (batch and streaming) and supportingAI/ML workloads within a lakehouse architecture

Nice to Have (Domain & Industry Experience)

• Experience inLegal, Compliance, Financial Services, or other regulated industries
• Understanding oflegal data constructs, including contracts, clauses, obligations, and matters
• Experience supportinglegal AI use cases (contract analytics, document summarization, compliance monitoring)
• Experience handlingsensitive data in highly regulated, audit-driven environments

Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visithttps://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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