Data Analytics Snowflake Technical Engineer, AVP

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MAClifton, NJPrinceton, NJ
Salary
$90,000–$157,500 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $124k
$75k most similar roles pay here $226k

This role pays less than 86% of similar roles. Most pay $134,725–$211,200 — the shaded band above. At the midpoint, this role pays about $124k versus about $173k 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 266 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 190 roles with salary data.

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At a glance

TL;DR · Data Analytics Snowflake Technical Engineer, AVP

The Data Analytics - Snowflake Technical Engineer, AVP joins the Data Platform Engineering team to design, develop, and maintain data architecture, models, and best practices for various integration projects. This role involves creating documentation for deployments, building automation for self-service capabilities, and managing pipelines using Terraform scripts. The engineer will oversee Snowflake account creation, ensure security compliance, and provide technical support for environment issues. Key responsibilities include performing query performance tuning, implementing complex stored procedures, and managing data migrations from RDBMS to Snowflake on AWS or Azure. Required skills include expertise in SQL, Python, SnowSQL, SnowPipe, and CI/CD pipelines using Git and Ansible. The role focuses on solving infrastructure and platform challenges while ensuring robust data security, cost governance, and scalable architecture for complex data flows within a global team environment.

What you'll do

  • Design, develop, and maintain data architecture, models, and best practice standards for Snowflake projects.
  • Create and update technical documentation regarding data flows, infrastructure diagrams, and platform deployments.
  • Develop automation tools to enable self-service capabilities and management of the data platform.
  • Manage data pipelines using Terraform scripts to deploy resources across cloud environments.
  • Perform query performance tuning and troubleshoot complex issues within Snowflake and related applications.
  • Implement enterprise security, RBAC controls, and cost governance standards for new Snowflake accounts.
  • Execute data migrations from RDBMS systems to Snowflake cloud data warehouses.
  • Build processes for data transformation, metadata management, and workload management.

What we're looking for

  • Must have 5+ years of experience in Data Analytics and Integration projects.
  • Must have experience with end-to-end implementation of Snowflake cloud data warehouse on AWS and Azure.
  • Must possess deep expertise in advanced Snowflake concepts including resource monitors, RBAC, performance tuning, and cost governance.
  • Must be proficient in SQL for data modeling, ELT, and implementing complex stored procedures.
  • Must have experience managing CI/CD pipelines using Git and Infrastructure-as-Code tools like Terraform, Ansible, or Python.
  • Must have hands-on experience with Snowflake utilities (SnowSQL, SnowPipe) and big data migration techniques.
  • Must be proficient in reviewing and tuning complex SQL code to resolve performance challenges.
  • Certified Snowflake cloud data warehouse Architect (preferred); understanding of Databricks (preferred).

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