Lead Data Architect, Corporate Technology

JPMorgan Chase & Co.•Columbus, OH

1d•$152,000 - $215,000

About The Position

As a Lead Data Architect at JPMorganChase within Corporate Technology, you provide expertise to develop and enhance the data architecture of multiple applications in their journey to modernize to cloud-based technologies. Key deliverables include assessing current state and target state plans for consolidation to the strategic data lake, adoption of core data technologies for application development, and defining data standards across a portfolio of applications serving the Compliance, Oversight, and Governance businesses.

Requirements

10+ years of related experience in data architecture roles
Experience with various data modeling techniques and tools related to data across 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, such as Postgres or Cockroach DB, or data lake platforms such as Databricks or Snowflake
Proven ability to set standards, and write Architecture Decision Records to set the north star vision, and evangelize across many application teams
Deep knowledge and hands-on expertise
Broad expertise in data technologies; i.e. data processing, data quality concepts, Business Intelligence and analytical tools, unstructured data, machine learning
Experience with data governance frameworks, data catalogs, data vocabularies, and data classification needs
Cloud fundamentals, AWS (preferred) or other public cloud platforms
Excellent analytical and problem-solving skills and the ability to pay close attention to detail
Strong interpersonal & communication skills, ability to present and effectively communicate with Senior Leaders and Executives
Proven ability to work in a multi-national, geographically distributed team

Nice To Haves

Advanced analytical thinking and problem-solving skills
Experience with alternative data platforms such as graph databases or graph based data.
Familiar with Large Language Models (LLMs) and prompt engineering
Familiar with Finance and Banking products and related protection standards, such as GDPR or PCI

Responsibilities

Drive the Data Architecture principles and framework to enforce and strengthen the overall data environment for the portfolio of applications
Own and evolve database standards, including database choice and sensible defaults in collaboration with application architects for the portfolio applications
Drive adoption of the strategic lake by designing target state data architectures to reduce the presence of bespoke data applications holding large amounts of duplicate data
Define data processing patterns and standards for data exchange between applications including streaming, API, and batch based interactions
Serves as the function’s go-to subject matter expert for data architecture needs across 100+ applications
Mentors and coaches junior architects and technologists regarding data practices, modeling, design, and storage
Champions the firm’s culture of diversity, opportunity, inclusion, and respect