Corporate Technology - Lead Data Architect

J.P. Morgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase seeks a Lead Data Architect within Corporate Technology to help modernize to cloud-based technologies and define data standards across a portfolio including Compliance, Oversight, and Governance.

You will guide data architecture for multiple applications, mentor junior teams, and shape data processing patterns including streaming, APIs, and batch exchanges while promoting inclusive, collaborative culture.

Qualifications

• 10+ years of experience in data architecture roles with OLTP/OLAP modeling knowledge
• Deep knowledge of data architecture best practices and trends for modern data needs in multinational teams
• Expertise in cloud-based databases (Postgres, CockroachDB) or data lake platforms (Databricks, Snowflake)
• Ability to set standards and write Architecture Decision Records and evangelize across teams
• Broad data technologies experience: data processing, quality, BI/analytics, unstructured data, ML
• Experience with data governance, catalogs, vocabularies, and classification needs
• Cloud fundamentals with AWS preferred or other public clouds

Responsibilities

• Drive Data Architecture principles and framework across the portfolio
• Own and evolve database standards with application architects
• Drive adoption of the strategic lake by designing target state data architectures
• Define data processing patterns for data exchange (streaming, API, batch)
• Serve as go-to SME for data architecture across 100+ applications
• Mentor and coach junior architects and technologists on data practices
• Champion diversity, opportunity, inclusion, and respect

Skills

Data architecture

Cloud databases

Data governance

Architecture standards

BI & analytics

Data modeling

Distributed teams

Job description

Join the team that assesses 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.

As a Lead Data Architect, within Corporate Technology, you will provide expertise to develop and enhance the data architecture of multiple applications in their journey to modernize to cloud-based technologies.

Job 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

Required qualifications, capabilities, and skills:

• 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 and proven ability to work in a multi-national, geographically distributed team
• 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
• 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

Preferred qualifications, capabilities, and skills:

• 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

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).