Senior Databricks / Snowflake Data Architect

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Clifton, NJ
Salary
$125,000–$226,250 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $176k
$112k most similar roles pay here $250k

This role pays less than 68% of similar roles. Most pay $161,250–$235,750 — the shaded band above. At the midpoint, this role pays about $176k 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 176 open roles on FindRole.

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

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At a glance

TL;DR · Senior Databricks / Snowflake Data Architect

The Senior Databricks / Snowflake Data Architect joins the BestX engineering team to lead the design and evolution of a next-generation cloud-native data platform. This role involves designing high-performance data models, ingestion frameworks, and transformation pipelines for multi-asset Transaction Cost Analysis (TCA), analytics, and reporting. The architect will conduct technology evaluations, rapid prototyping, and proof-of-concepts to build scalable lakehouse solutions. Key technologies include Databricks, Delta Lake, Unity Catalog, Spark, Snowflake, Snowpark, Python, SQL, and AWS services like S3, EMR, and Lambda. The role also involves managing streaming architectures using Kafka or EventBridge while ensuring data governance and security in a regulated financial services environment. The candidate will address complex problems involving high-volume market and transaction datasets to support execution analytics and regulatory requirements such as MiFID II and MiFIR.

What you'll do

  • Design and develop the architecture for a multi-asset Transaction Cost Analysis (TCA) and analytics platform.
  • Lead technology evaluations, rapid prototyping, and proof-of-concept initiatives for cloud-native data technologies.
  • Architect and implement scalable data lakehouse solutions using Databricks, Snowflake, and related cloud services.
  • Build high-performance data models, ingestion frameworks, and transformation pipelines for real-time and batch processing.
  • Establish standards for data governance, lineage, security, metadata management, and platform observability.
  • Define architectural roadmaps for data warehousing, streaming, and AI/ML workloads.
  • Drive the adoption of modern DevOps practices, including CI/CD and Infrastructure-as-Code.
  • Translate complex business requirements from quantitative researchers and product teams into scalable technical solutions.

What we're looking for

  • Experience designing and implementing enterprise-scale data platforms.
  • Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture.
  • Hands-on experience with Snowflake, including data modeling, performance optimization, Snowpark, and governance capabilities.
  • Expertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworks.
  • Experience building streaming architectures using technologies such as Kafka, Spark Streaming, or EventBridge.
  • Strong understanding of data architecture principles like dimensional modeling, Data Vault, and lakehouse methodologies.
  • Knowledge of capital markets, Transaction Cost Analysis (TCA), and regulatory requirements like MiFID II (preferred).
  • Experience with AI/ML platforms, MLOps, or alternative analytical databases such as DuckDB or ClickHouse (preferred).

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