Corporate Technology - Lead Data Architect

JPMorganChase•Jersey City, NJ

About The Position

Join Corporate Technology to assess current-state and target-state plans for consolidating data into the strategic data lake, adopting core data technologies for application development, and defining data standards across applications serving Compliance, Oversight, and Governance businesses. The Lead Data Architect will provide expertise in developing and enhancing the data architecture of multiple applications as they modernize to cloud-based technologies. The role drives data architecture principles and standards across a portfolio of more than 100 applications, supports adoption of the strategic data lake, defines data exchange patterns, and serves as a subject matter expert. It also includes mentoring junior architects and technologists and championing the firm’s culture of diversity, opportunity, inclusion, and respect.

Requirements

  • 10+ years of related experience in data architecture roles.
  • Experience with 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.
  • Proven ability to work with a multinational, geographically distributed team.
  • Deep knowledge of 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, write Architecture Decision Records to establish a north star vision, and evangelize that vision across many application teams.
  • Broad expertise in data technologies, including data processing, data quality concepts, Business Intelligence and analytical tools, unstructured data, and machine learning.
  • Experience with data governance frameworks, data catalogs, data vocabularies, and data classification needs.
  • Cloud fundamentals and experience with AWS or other public cloud platforms.

Nice To Haves

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

Responsibilities

  • Drive data architecture principles and frameworks to strengthen the data environment across the portfolio of applications.
  • Own and evolve database standards, including database selection and sensible defaults, in collaboration with application architects.
  • Drive adoption of the strategic data lake by designing target-state data architectures that reduce bespoke data applications holding large amounts of duplicate data.
  • Define data-processing patterns and standards for data exchange between applications, including streaming, API-based, and batch interactions.
  • Serve as the function’s go-to subject matter expert for data architecture needs across more than 100 applications.
  • Mentor and coach junior architects and technologists on data practices, modeling, design, and storage.
  • Champion the firm’s culture of diversity, opportunity, inclusion, and respect.
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