S&P Global
Website:
spglobal.com
Company:
https://www.linkedin.com/company/spglobal
Seniority: Director
Industries: Software Development
Job details:
The Role: Associate Director, Software Engineering
The Team: Enterprise Data Organization | Distribution and Data Platforms – Data Management Tech
The Impact
Delivering data to clients in a timely manner is key to the success of the company. As a software engineer, you will focus on reliability, performance and scalability. This role offers a unique opportunity to work on a high-impact project. The successful customer and data onboarding tools will be closely watched by stakeholders, executives, and clients.
What’s in it for you
- Professional Growth: You’ll have the opportunity to join a high-performing team, growing your technical skills, and contribute to strategic decisions.
- Global Exposure: Collaborate with cross-functional teams across different geographies, gaining exposure to diverse perspectives and markets.
- Innovation: Shape the future of data integration by working on cutting-edge technologies and solving complex challenges.
Key Responsibilities:
- In partnership with Product, defining and executing the engineering roadmap for SaaS-based enterprise catalog solutions, including integration with bespoke or proprietary internal systems.
- Shepherding the end-to-end software development lifecycle, from requirements gathering and system design through to cloud-native deployment automation.
- Architecting shared capabilities, in a shift-left environment enabling federated consumption across divisions and business units of S&P Global.
- Ensuring systems are secure, compliant, auditable, and observable in-alignment with Enterprise standards.
Required Qualifications:
- 10+ years of experience in Software engineering, with minimum 4 years in roles focused on direct leadership of Software and Quality Engineering teams.
- Proven track record of delivery aligned with SaaS-based platform integration, ideally in a Data/ Metadata-centric field.
- Proven ability to lead and scale software, quality, and cloud engineering programs in complex, data-driven environments.
- Exceptional communication skills, with the ability to translate architectural designs and software components to non-technical audiences, including compliance, product, and business teams.
- Agile mindset, with the ability to effectively manage through change and shifting priorities in a fast-paced environment.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Preferred Qualifications:
- Experience and comfort developing modern Java software (JDK17+ minimum).
- Experience and comfort developing modern Python software (3.13+ minimum).
- Experience and comfort implementing and understanding CICD/ IAC processes (GitHub Actions, Terraform).
- Deep knowledge and experience with both container management platforms-based and cloud-native serverless technologies in at least one of AWS or GCP.
- Demonstrated experience developing microservice architectures and event-driven systems handling both high-volume and high-velocity data.
- Prior experience with Resource Description Framework (RDF) data, SPARQL, and RDF-based triple-stores is a significant plus.
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