Associate Director, Data Engineering

Grade Level (for internal use):

The Team

You will be an expert contributor and part of the Rating Organizations Data Services Product Engineering Team. This team, who has a broad and expert knowledge on Ratings organizations critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform.

Responsibilities:

• Architect, design, and implement innovative software solutions to enhance S&P Ratings' cloud-based analytics platform.
• Mentor a team of engineers (as required), fostering a culture of trust, continuous growth, and collaborative problem-solving.
• Collaborate with business partners to understand requirements, ensuring technical solutions align with business goals.
• Manage and improve existing software solutions, ensuring high performance and scalability.
• Participate actively in all Agile scrum ceremonies, contributing to the continuous improvement of team processes.
• Produce comprehensive technical design documents and conduct technical walkthroughs.

Experience & Qualifications:

• Bachelors degree in Computer Science, Information Systems, Engineering, or a related field is required.
• Proficient in software development lifecycle (SDLC) methodologies, including Agile and Test-Driven Development.
• A total of 12+ years of experience, with 8+ years focused on designing enterprise products, modern data architectures, and analytics platforms.
• 6+ years of hands-on experience in application architecture and design, with proven knowledge of software and enterprise integration design patterns, as well as full-stack development across modern distributed front-end and back-end technology stacks.
• 5+ years of full-stack development experience using modern web development technologies, including proficiency in programming languages and UI frameworks, as well as experience with relational and NoSQL databases.
• Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem using cloud technologies.
• Thorough understanding of distributed computing principles.
• A passionate, intelligent, and articulate developer with a quality-first mindset and a strong background in developing products for a global audience at scale.
• Excellent analytical thinking, interpersonal skills, and both oral and written communication skills, with a strong ability to influence both IT and business partners.
• Superior knowledge of system architecture, object-oriented design, and design patterns.
• Strong work ethic, self-starter mentality, and results-oriented approach.
• Excellent communication skills are essential, with strong verbal and writing proficiencies.

Additional Preferred Qualifications:

• Experience working with cloud service providers.
• Familiarity with Agile frameworks, including scaled Agile methodologies.
• Advanced degree in Computer Science, Information Systems, or a related field.
• Hands-on experience in application architecture and design, with proven software and enterprise integration design principles.
• Ability to prioritize and manage work to meet critical project timelines in a fast-paced environment.
• Strong analytical and communication skills, with the ability to train and mentor others.