Lead Engineer, Data Engineering - Full Stack

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.
• Proficiency in software development lifecycle (SDLC) methodologies such as Agile and Test-driven development.
• Over 10 years of experience, including at least 4 years in designing and developing enterprise products, utilizing modern technology stacks and data platforms.
• A minimum of 4 years of hands-on experience in application architecture and design, demonstrating knowledge of software and enterprise integration design patterns, as well as full-stack development, including contemporary distributed front-end and back-end technologies.
• At least 5 years of full-stack development experience in modern web technologies and frameworks, along with experience in SQL and various database systems.
• Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem, particularly leveraging cloud technologies.
• A thorough understanding of distributed computing concepts.
• A passionate and articulate developer with a quality-first mindset, possessing a strong background in developing scalable products for a global audience.
• Excellent analytical thinking, interpersonal skills, and strong oral and written communication abilities, with a proven ability to influence both IT and business partners.
• Superior knowledge of system architecture, object-oriented design, and design patterns.
• A strong work ethic, self-motivated, and results-oriented.
• Excellent communication skills are essential, with strong verbal and written proficiency.
• Experience with data lake systems and cloud technologies is a plus.

Additional Preferred Qualifications:

• Experience working with cloud platforms.
• Familiarity with Agile frameworks.
• Bachelors or postgraduate 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 tasks to meet critical project timelines in a fast-paced environment.
• Excellent analytical and communication skills are essential, with strong verbal and writing proficiency.
• Ability to train and mentor others.