Lead Data Architect

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
32 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $200k
$144k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $170,225–$229,350.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Data Architect

As a Corporate Technology Team - Lead Data Architect, you will provide expert guidance to develop and enhance the data architecture for multiple applications transitioning to cloud-based technologies. You will be responsible for assessing current and target state plans for consolidation into a strategic data lake while defining data standards across a portfolio of applications serving Compliance, Oversight, and Governance. Your daily work involves driving architectural principles, evolving database standards, designing processing patterns for streaming, API, and batch interactions, and mentoring junior architects. You will utilize technologies including Postgres, Cockroach DB, Databricks, Snowflake, and AWS. The role requires expertise in data modeling for OLTP and OLAP, data quality, Business Intelligence, machine learning, and governance frameworks like GDPR or PCI. You will also navigate complex requirements involving unstructured data, graph databases, and Large Language Models.

What you'll do

  • Develop and enhance the data architecture for multiple applications transitioning to cloud-based technologies.
  • Assess current and target state plans to consolidate data into a strategic data lake.
  • Define and enforce data architecture principles and frameworks across a portfolio of applications.
  • Establish database standards, including technology selection and default configurations for application architects.
  • Design target state architectures to eliminate bespoke applications and reduce duplicate data.
  • Define data processing patterns and standards for streaming, API, and batch interactions between applications.
  • Serve as the primary subject matter expert for data architecture needs across over 100 applications.
  • Mentor and coach junior architects and technologists on data modeling, design, and storage practices.

What we're looking for

  • 10+ years of experience in data architecture roles.
  • Experience with various data modeling techniques and tools for both OLTP and OLAP patterns.
  • Deep knowledge of data architecture best practices and industry trends for modern data needs.
  • Deep knowledge in one or more cloud-based databases (e.g., Postgres, Cockroach DB) or data lake platforms (e.g., Databricks, Snowflake).
  • Hands-on expertise in data processing, quality concepts, Business Intelligence tools, unstructured data, and machine learning.
  • Experience with data governance frameworks, data catalogs, data vocabularies, and data classification needs.
  • Cloud fundamentals, AWS (preferred).
  • Familiarity with alternative platforms like graph databases, LLMs, or Finance/Banking products and standards like GDPR or PCI (preferred).

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