Vice President, Senior Data Lakehouse Architect

State Street

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Quincy, MABoston, MA
Salary: $120,000–$202,500 / yr
Employment: Full-time
Posted: 59 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $161k

$105k $256k

below market most similar roles pay here above market

This role pays less than 74% of similar roles. Most pay $161,250–$235,750 — the blue band above. At the midpoint, this role pays about $161k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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At a glance

TL;DR · Vice President, Senior Data Lakehouse Architect

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JOB TITLE: Senior Data Lakehouse Architect (Databricks), Vice President The Senior Data Lakehouse Architect (Databricks), Vice President joins the Corporate Functions Technology team to design and lead the build-out of a Legal Data Lakehouse platform on AWS and Databricks. This role involves architecting a multi-layered data architecture to support contract metadata, eDiscovery datasets, and regulatory feeds. You will build scalable ingestion frameworks for structured and unstructured data, develop ETL/ELT pipelines, and implement governance using Unity Catalog and AWS-native controls. Key technologies include Databricks, Apache Spark, Python, SQL, Delta Lake, and Terraform. The position solves the challenge of consolidating distributed legal documents and workflows into a secure, governed foundation. You will enable legal analytics, AI/ML use cases like RAG architectures, and automated contract review within a highly regulated environment.

Skills

Databricks AWS Apache Spark Python SQL Delta Lake Unity Catalog Terraform CI/CD MLflow S3 Glue EMR Lambda Redshift IAM KMS PySpark Scala RAG LLM GenAI NLP Entra ID Azure AD

What you'll do

Design and implement the end-to-end Legal Data Lakehouse architecture using Databricks and AWS.
Develop multi-layered data architectures to ingest contract metadata, legal matters, and eDiscovery datasets.
Lead the development of ETL/ELT pipelines using Spark, Python, and SQL for structured and unstructured data.
Implement data governance frameworks using Databricks Unity Catalog and AWS-native security controls.
Architect data models and retrieval systems (RAG) to support legal AI, LLM, and GenAI use cases.
Establish CI/CD pipelines and infrastructure-as-code standards using Terraform and Git-based workflows.
Translate business and legal requirements into scalable, enterprise-grade technical solutions.

What we're looking for

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline.
10+ years of experience in data architecture, engineering, or analytics platforms.
5+ years of hands-on experience with Databricks and Apache Spark.
Strong experience with AWS-based data platforms.
Expertise in data governance, security, and compliance in regulated environments.
Experience working with unstructured data and NLP/document processing pipelines.
Relevant certifications such as Databricks Certified Data Engineer/Architect or AWS Certified Solutions Architect (preferred).
Experience in Legal, Compliance, or Financial Services industries (preferred).

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