Senior Data Lakehouse Architect, Vice President

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$120,000–$202,500 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $161k
$106k most similar roles pay here $255k

This role pays less than 78% of similar roles. Most pay $170,000–$235,750 — the shaded band above. At the midpoint, this role pays about $161k versus about $203k 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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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View all roles at State Street

At a glance

TL;DR · Senior Data Lakehouse Architect, Vice President

Role Posting Log in to save

Senior Data Lakehouse Architect (Databricks), Vice President joins the Corporate Functions Technology team to design and lead the construction of a Legal Data Lakehouse platform on AWS and Databricks. This role involves building multi-layered data architectures, developing ETL/ELT pipelines using Spark, Python, and SQL, and creating scalable ingestion frameworks for structured and unstructured legal content like contracts and emails. The architect will implement governance via Unity Catalog and AWS-native controls while designing RAG architectures and LLM pipelines to support contract analytics and automated workflows. Key technical requirements include expertise in Databricks, Delta Lake, Terraform, and Git-based CI/CD pipelines. The role addresses the challenge of consolidating fragmented legal data into a secure, compliant foundation for eDiscovery, risk management, and AI-driven insights within a highly regulated environment requiring strict auditability and fine-grained access controls.

Skills

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

What you'll do

  • Design and implement the end-to-end Legal Data Lakehouse architecture using Databricks and AWS.
  • Develop ETL/ELT pipelines to ingest structured and unstructured legal data into Delta Lake.
  • Implement data governance, fine-grained access controls, and auditability using Unity Catalog and AWS security tools.
  • Architect data models and retrieval systems (RAG) to support legal AI and machine learning use cases.
  • Establish CI/CD pipelines and infrastructure-as-code for platform deployment and monitoring.
  • Translate complex legal requirements into scalable, enterprise-grade technical solutions.
  • Provide architectural oversight and mentorship to data engineering and platform teams.

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.
  • Expertise in AWS-based data platforms including S3, Glue, EMR, Lambda, Redshift, and IAM.
  • Proficiency in Python, SQL, and PySpark/Scala for building ETL/ELT pipelines.
  • Experience in data governance, security, and compliance within regulated environments using Databricks Unity Catalog and AWS controls.
  • Experience with unstructured data, NLP, document processing, and AI/ML workloads like RAG and LLM integration.
  • Preferred certifications include Databricks Certified Data Engineer/Architect or AWS Certified Solutions Architect.

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