Data Domain Architect Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
OH
Posted
22 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $176k
$126k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $140,412–$212,000.

Based on 240 similar postings.

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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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Data Domain Architect Associate

As a Data Domain Architect – Associate in Financial Analysis Reporting Systems, you will join a team focused on improving the accuracy and reliability of critical financial reporting. You will manage day-to-day reporting processes and data pipelines while strengthening end-to-end data controls to ensure regulatory compliance and audit readiness. Your daily work involves automating manual workflows, resolving production breaks, and partnering with Technology teams to design and test scalable system enhancements. To succeed, you must utilize SQL for extracting and transforming large datasets and leverage tools like Alteryx, Python, and SAS to build repeatable, auditable workflows. You will also manage metadata, data dictionaries, and lineage documentation while exploring advanced analytics and responsible artificial intelligence. This role solves complex problems regarding data quality, reporting reliability, and the modernization of financial data infrastructure for internal and external stakeholders.

What you'll do

  • Deliver accurate weekly and monthly financial results for internal and external stakeholders.
  • Manage day-to-day reporting processes and resolve data pipeline production breaks.
  • Strengthen data controls through reconciliations, variance checks, and lineage verification to ensure audit readiness.
  • Automate manual workflows using Alteryx, Python, and SAS to improve scalability.
  • Partner with Technology teams to define requirements and test system enhancements.
  • Analyze large datasets to provide decision-ready reports for non-technical audiences.
  • Maintain metadata, data dictionaries, and lineage documentation to support data modernization.
  • Explore artificial intelligence and advanced analytics use cases to improve reporting efficiency.

What we're looking for

  • Bachelor's degree in Accounting, Finance, or a related field.
  • Strong SQL and relational database skills for extracting, transforming, and summarizing large datasets.
  • Hands-on experience with Alteryx, SAS, or Python to build repeatable and auditable workflows.
  • Experience developing and testing reporting solutions while documenting limitations and assumptions clearly.
  • Experience applying data management practices including lineage, metadata, and data dictionaries.
  • Experience designing and maintaining controls aligned with common frameworks for audit requirements.
  • Experience driving process improvement and automation initiatives from definition through implementation.
  • Authorized to work in the United States.

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