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Python​/Solution Architect - Modernization, Cloud & AI Enablement

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Security, Cybersecurity, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Python / Solution Architect - Modernization, Cloud & AI Enablement

About Us

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic.

We provide you a superior foundation for building a professional career where you can learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology at Morgan Stanley

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have many award-winning technology platforms that help to propel our Firm’s businesses to be the top in the market.

We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.

Department Profile

Morgan Stanley is seeking an experienced and ambitious candidate to join their Record Archive Service (RAS) group. The group is responsible for managing and supporting multiple Archives platform (Archive 360, CMOD and ERA) to meet Firms Regulatory obligations.

Role Summary

This role is a VP Software Architect responsible for building, modernizing, and operating enterprise‑scale data records archiving solutions that support Morgan Stanley’s regulatory, legal, and data lifecycle obligations.

The VP will actively engineer and modernize platforms spanning Archive
360 (A360), IBM CMOD and other internal tools (ERA, etc.), evolving legacy Perl/Java/Shell‑based ingestion, monitoring, entitlement, and disposition tooling into Python‑first, cloud‑ready, AI‑enabled solutions.

A core expectation of this role is to continuously improve efficiency—reducing cost, latency, manual effort, and operational friction while increasing throughput, reliability, and auditability.

Key Responsibilities

1) Hands‑On Engineering & Delivery

  • Build and modernize Python‑based services, tools, and automation for data records archiving platforms.
  • Re‑engineer legacy Perl/Shell/Java tooling used for:
    • Archive ingestion and reconciliation
    • Drop‑zone hygiene and monitoring
    • Entitlements and access controls
    • Disposition, retention validation, and reporting
  • Personally lead complex refactors, performance tuning, and production issue resolution.
  • Implement CI/CD pipelines, test automation, and secure SDLC practices for archive‑related systems.
  • Participate in incident response, RCA, and remediation for archive ingestion, retrieval, or compliance issues.

2) Electronic Records Archiving Modernization & Migration

  • Modernize archival workflows across Archive
    360, ERA, and IBM CMOD platforms.
  • Drive migrations such as:
    • ERA → Archive
      360 ingestion and metadata remediation
    • Legacy batch/script pipelines → Python‑based orchestration
    • File‑based/manual processes → resilient, observable services
  • Ensure compliance with WORM, SEC 17a‑4, retention schedules, legal/tax holds, and disposition controls.
  • Own migration execution artifacts: cutover plans, rollback strategies, reconciliation evidence, and audit support.

3) Architecture & Design

  • Define Python‑first, performance‑aware architectures for archiving platforms.
  • Make design decisions that balance:
    • Cost efficiency
    • Processing speed and scalability
    • Regulatory risk and auditability
  • Produce concise architecture artifacts (C4, ADRs, ingestion/disposition flows) that directly support efficient delivery.
  • Review designs and implementations to ensure efficiency considerations are embedded early—not added later.

4) Cloud & Platform Enablement

  • Design and…
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