Senior Data Platform Architect, Snowflake, Databricks, Open Platforms & Data Virtualization

State Street

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$120,000–$202,500 / yr
Posted
60 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 10, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $161k
$103k most similar roles pay here $279k

This role pays less than 79% of similar roles. Most pay $171,293–$242,000 — the shaded band above. At the midpoint, this role pays about $161k versus about $207k 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 Platform Architect, Snowflake, Databricks, Open Platforms & Data Virtualization

Senior Data Platform Architect (Snowflake, Databricks, Open Platforms & Data Virtualization), VP I - State Street Investment Management is responsible for the end-to-end architecture, security design, and governance of an enterprise data platform. This role involves designing hybrid Snowflake and Databricks architectures, implementing open table formats like Apache Iceberg and Delta Lake, and developing data virtualization patterns to provide logical access across diverse systems. The architect will lead batch application modernization from legacy platforms into cloud-native environments while ensuring compliance with financial services regulations and security standards. Key technologies include SQL, Python, Java, Scala, Spark, and Snowpark, alongside multi-cloud integration across AWS, Azure, and GCP. The role addresses complex problems in data sharing, disaster recovery, and federated access to solve challenges related to regulatory reporting, analytics, and AI/ML workloads within a highly regulated investment management environment.

What you'll do

  • Design and govern the hybrid Snowflake and Databricks architecture for enterprise data warehousing and lakehouse capabilities.
  • Architect open data platform strategies using Apache Iceberg, Delta Lake, and Parquet to ensure cross-engine interoperability.
  • Develop data virtualization patterns to provide logical access across diverse systems without physical data movement.
  • Lead the migration of legacy batch applications from mainframe and on-premise systems to cloud-native environments.
  • Enforce security by design including RBAC, row-level masking, and compliance with financial regulations like SOX.
  • Design multi-cloud infrastructure for AWS, Azure, and GCP including high availability and disaster recovery plans.
  • Create monitoring systems and chargeback models to manage costs across various application teams.
  • Serve as a subject matter expert to provide architectural guidance on data engineering and modernization projects.

What we're looking for

  • Experience designing and governing enterprise data platforms using Snowflake, Databricks, and open table formats like Apache Iceberg and Delta Lake.
  • Expertise in data virtualization technologies such as Denodo or Starburst to provide logical access across diverse systems.
  • Proficiency in migrating legacy batch applications from Oracle, mainframe, and Unix environments to cloud-native architectures.
  • Experience with multi-cloud infrastructure (AWS, Azure, GCP) including IAM, networking, and private link configurations.
  • Knowledge of data modeling techniques including Kimball, medallion patterns, dimensional modeling, and schema tuning.
  • Proficiency in programming languages including SQL, Python, Java, Scala, and Spark.
  • Experience working within regulated industries involving SOX compliance, MRA audits, and NPPI/PII data protection.
  • Proficiency in Linux environments and experience with Generative AI scripting and prompting.

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