Finance AI Data Architect & Cloud Governance

Bloomberg

Virginia (MN)

On-site

USD 125,000 - 155,000

Full time

8 days ago
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Job summary

Bloomberg Industry Group is seeking a skilled software/data professional to design and deliver data-driven solutions powering finance-facing AI and automation initiatives. You will own data architecture, ensure governance, and collaborate with AI teams to create scalable pipelines and APIs.

Candidates should have a strong track record in distributed software delivery, cloud tech (AWS), and DevSecOps practices, with the ability to influence decisions and reduce project complexity across teams.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 3+ years of software development using modern software engineering principles.
  • Experience delivering production-grade applications.
  • Experience leading project deliverables and driving efficiency.
  • Strong Agile/Scrum and DevSecOps practices.

Responsibilities

  • Architect, design and deliver high-quality code following INDG best practices.
  • Architect data models/pipelines for financial reporting, forecasting and audit data.
  • Partner with Finance and Enterprise AI teams to define data standards and lineage.
  • Build scalable, governed data infrastructure (warehousing, ETL/ELT, APIs) for AI apps.
  • Ensure data quality, security, and compliance (SOX, audit trails).
  • Collaborate with AI engineers to expose clean, structured data for LLM tools.

Education

Bachelor's degree or equivalent

Tools

AWS
Serverless
Event-Driven Architecture
CI/CD
Infrastructure as Code
Microservices
Data governance

Job description

Bloomberg Industry Group is seeking a skilled software/data professional to design and deliver data-driven solutions powering finance-facing AI and automation initiatives. You will own data architecture, ensure governance, and collaborate with AI teams to create scalable pipelines and APIs.

Candidates should have a strong track record in distributed software delivery, cloud tech (AWS), and DevSecOps practices, with the ability to influence decisions and reduce project complexity across teams.

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