Lead Cloud Data and AI/ML Engineer, AVP

State Street

Quick summary

Work type: On-site
Location: Boston, MA
Salary: $90,000–$157,500 / yr
Posted: 2 days ago
Closes: Jul 31, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $124k

$74k most similar roles pay here $243k

This role pays less than 97% of similar roles. Most pay $180,495–$226,600 — the shaded band above. At the midpoint, this role pays about $124k versus about $204k 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 156 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 152 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Lead Cloud Data and AI/ML Engineer, AVP

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Seeking a Senior Data Engineer with 5+ years of experience in cloud technologies for a dynamic role within the data engineering team at State Street. This position involves leading end-to-end workstreams to deliver business outcomes, researching and applying new tools and techniques, and developing efficient and scalable programs using AWS services such as S3, EC2, RDS, Kinesis/Kafka, OpenSearch, and Lambda, alongside Databricks for data engineering and machine learning pipelines. The ideal candidate will have a strong background in Databricks fundamentals, medallion architecture, and CI/CD pipelines, along with experience in database architecture, business intelligence, and advanced analytics. Additionally, proficiency in Scala, Python, or Java, as well as knowledge of Agentic AI frameworks, is essential. This role requires working closely with the IT team to migrate applications and support model lifecycle management while effectively communicating technical concepts to stakeholders.

Skills

AWS Databricks Python Scala Java Airflow CI/CD Kafka OpenSearch Lambda S3 EC2 RDS Kinesis Terraform Docker Kubernetes PostgreSQL Agentic AI frameworks Medallion architecture DLT Unity Catalog

What you'll do

Lead end-to-end workstreams to deliver business outcomes.
Develop Data Engineering and Machine Learning pipelines in Databricks using AWS services.
Design and develop GenAI and Agentic AI applications.
Evaluate and onboard new AI tools, frameworks, and cloud services.
Document best practices for application deployment and infrastructure support.

What we're looking for

Bachelor's degree in computer science or equivalent experience.
5+ years of Data Engineering experience with cloud technologies.
Experience developing and maintaining Databricks/AWS pipelines.
Solid understanding of AWS services and architecture best practices.
Hands-on experience with Databricks, including Data Engineering and ML.
Strong problem-solving skills and ability to work on tight timelines.
Effective communication for technical concepts and project updates.

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