Web Application Architect 2

Bloomberg Industry Group•Arlington, VA

20h

About The Position

Responsible for business analysis, application design, development, integration and delivery and application maintenance and support. Individuals in this position must be a self-directed professional, who will also bring leadership skills and quickly learn new technologies and programming languages. They should be able to design and own the data architecture powering finance-facing AI and automation initiatives, ensuring financial data is structured, governed, and reliable for downstream AI/ML use cases.

Requirements

Bachelor’s degree in related field or equivalent experience.
3+ years of software development experience in the development of commercial applications using modern software engineering principles and practices.
Experience completing tasks quickly and efficiently at a production level.
Experience running and leading a large part of the project deliverable alone.
Experience reducing the complexity of projects, services, and processes in order to get more done with less work.
A track record of a strong influencer and thought leader in distributed software delivery teams using Agile/Scrum and DevSecOps practices.
Experience with cloud technologies i.e. AWS, Serverless, Event Driven Architecture, SOC, MicroServices, Microfrontend, CI/CD, Infrastructure as code, and other modern technologies.
Strong knowledge and experience of professional software engineering practices and the full software development life cycle, including coding standards, architecture/design patterns, code reviews, source control management, build processes, testing, and operations.

Responsibilities

Architect, design and deliver high-quality code by promoting and designing 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) supporting AI applications
Ensure data quality, security, and compliance (SOX, audit trail requirements)
Collaborate with agentic AI engineers to expose clean, structured data for LLM-based tools
Solve difficult problems in a creative manner in a timely fashion.
Act as the go-to expert in at least one technical area and has a very good working knowledge of the broader architecture of the entire system.
Strongly influence the decision on resolving/diagnosing/monitoring the overall system & platform.
Identify key problems affecting their team and adopt innovative technical solutions to solve them.
Delivering/Presenting solutions for large initiatives across multiple teams.
Reducing the complexity of projects, services, and processes in order to get more done with more efficiency.
Participates in cross-business technical reviews, provides feedback on projects outside of their core area.