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.
What you will do:
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.
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.
Compensation Range:
$125,000.00-$155,000.00
Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.
Equal Opportunity
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).
