Lead Data Architect

JPMorgan Chase

Quick summary

Work type
On-site
Location
Hyderabad, Telangana, India
Posted
4 days ago
Nearby
21 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $175k
$129k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $139,075–$211,200.

Based on 240 similar postings.

Employer

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 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Lead Data Architect

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As a Lead Data Architect at JPMorgan Chase within the Infrastructure Platforms team, you will be a key technical contributor responsible for developing high-quality data architecture solutions on modern cloud-based technologies. Your day-to-day responsibilities include engaging with technical teams and business stakeholders to propose innovative data architecture approaches, defining target states for product architectures, and implementing processes to enhance data access and analysis efficiency. You will also develop secure production code, review others' work, and leverage enterprise-authorized AI capabilities to accelerate decision-making while ensuring compliance with security and auditability standards. The role requires advanced knowledge of architecture principles, proficiency in programming languages like Java or Python, and a strong understanding of the Software Development Life Cycle. Ideal candidates are passionate about learning new technologies and driving innovative solutions within a large-scale financial institution environment.

Skills

Python Java Kubernetes AWS Azure CI/CD Docker Terraform PostgreSQL Snowflake Machine Learning Time Series Analysis Predictive Modeling Regression Analysis AI Data Governance SDLC DevOps

What you'll do

  • Proposes data architecture approaches to meet current and future needs.
  • Defines and drives the achievement of the data architecture target state strategy.
  • Implements processes and develops tools for efficient data access and analysis.
  • Executes creative solutions, designs, and troubleshoots technical issues beyond conventional methods.
  • Develops secure production code and reviews others' code for quality assurance.
  • Leverages enterprise-authorized AI capabilities to enhance data architecture workflows.
  • Drives reuse-first adoption of AI-assisted validation within SDLC routines.

What we're looking for

  • Advanced knowledge of data architecture and proficiency in programming languages
  • Experience implementing data access, extraction, and analysis processes using modern cloud technologies
  • Expertise in developing secure, high-quality production code and reviewing others' work
  • Ability to assess and validate AI-assisted data architecture recommendations for security and compliance
  • Proficiency in the Software Development Life Cycle and continuous improvement methodologies
  • Strong skills in evaluating new technologies and providing feedback for governance bodies
  • Passion for learning and driving innovative solutions in data architecture

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