Senior Databricks / Snowflake Data Architect

State Street

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Clifton, NJ
Salary
$125,000–$226,250 / yr
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $176k
$111k $253k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $155,075–$235,750 — the blue band above. At the midpoint, this role pays about $176k versus about $195k 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 · Senior Databricks / Snowflake Data Architect

The Senior Databricks / Snowflake Data Architect will join the BestX engineering team to lead the design and evolution of a next-generation cloud-native data platform. This role involves architecting scalable data lakehouse solutions, designing high-performance data models, and building ingestion frameworks for multi-asset Transaction Cost Analysis and analytics. You will perform rapid prototyping, technology evaluations, and production implementations while establishing best practices for data governance, lineage, and security. Key technologies include Databricks, Snowflake, Delta Lake, Spark, Python, SQL, and AWS services like S3 and Lambda. You will also utilize Kafka and CI/CD practices to support real-time and batch processing. The work focuses on solving complex financial problems involving market datasets, execution analytics, and regulatory requirements such as MiFID II and MiFIR.

What you'll do

  • Design and develop the architecture for a next-generation multi-asset TCA and analytics platform.
  • Lead technology evaluations, proof-of-concepts, and rapid prototyping for cloud-native data technologies.
  • Architect and implement scalable data lakehouse solutions using Databricks, Snowflake, and AWS services.
  • Design high-performance data models, ingestion frameworks, and transformation pipelines for real-time and batch workloads.
  • Establish best practices for data governance, lineage, security, metadata management, and platform observability.
  • Build and optimize analytical platforms to process large-scale market, transaction, and reference datasets.
  • Define architectural standards and technology roadmaps for data warehousing, streaming, and AI/ML workloads.
  • Drive adoption of Agile, DevOps, CI/CD, Infrastructure-as-Code, and DataOps practices.

What we're looking for

  • Experience in designing and implementing enterprise-scale data platforms.
  • Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture.
  • Strong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilities.
  • Expertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworks.
  • Experience designing large-scale analytical platforms supporting high-volume and high-velocity datasets.
  • Strong understanding of data architecture principles including dimensional modelling, Data Vault, lakehouse methodologies, and distributed computing.
  • Experience with cloud platforms, preferably AWS, including services such as S3, EMR, Glue, ECS/EKS, Lambda, and related analytics services.
  • Experience building streaming architectures using technologies such as Kafka, Spark Streaming, EventBridge, or equivalent.

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