Corporate Technology - Lead Data Architect

JPMorgan Chase; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase seeks a Lead Data Architect within Corporate Technology to drive the data architecture for multiple applications migrating to cloud-based technologies. You will define data standards, lead governance practices, and design target state architectures to reduce bespoke data duplication across 100+ applications.

You will mentor junior architects, promote best practices, and evangelize a culture of diversity and inclusion within a distributed, multinational team.

Qualifications

• 10+ years of data architecture experience across OLTP and OLAP patterns.
• Deep knowledge of data architecture, best practices, and industry trends for modern data needs.
• Experience with cloud-based databases and data lake platforms (Postgres, Databricks, Snowflake).
• Ability to write Architecture Decision Records and evangelize standards across teams.
• Broad expertise in data technologies including governance, data quality, BI, and ML.

Responsibilities

• Drive Data Architecture principles and framework for the portfolio of applications.
• Own and evolve database standards with application architects.
• Design target state data architectures to reduce bespoke data duplication.
• Define data processing patterns for exchange between applications (streaming, API, batch).
• Serve as go-to SME for data architecture across 100+ applications.

Skills

Data architecture

Data modeling

Cloud databases

ADR/architecture decisions

Data governance

Data catalogs

Data vocabularies

Data classification

AWS / cloud basics

BI & analytics

Tools

Postgres

CockroachDB

Databricks

Snowflake

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