S&P Global
SeniorDataEngineer
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“Senior Data Engineer at S&P Global. Skills: Informatica Cloud (IICS), Snowflake, ELT/ETL pipelines, SQL. Lead architectural design of data systems. Design and deploy ELT/ETL pipelines”
What You'll Achieve.
Deliver exceptional results; Influence strategic initiatives; Make a significant impact on organization’s success; Ensure seamless integration and management of data; Deliver high-quality data solutions; Ensure timely and successful outcomes
What They're Looking For.
Must Have
Bachelor’s degree and 6+ years of progressive experience in data engineering or related fields, 5 years of hands-on experience designing and deploying production ELT/ETL solutions using Informatica Cloud (IICS), including Mapping Designer, Data Integration, and API management, 5 years of experience working with Snowflake in a data engineering capacity, including advanced features like Streams, Tasks, stored procedures, UDFs, and external functions, Expert-level proficiency in SQL, including complex window functions, CTEs, recursive queries, and Snowflake-specific optimizations (zero-copy cloning, time travel, result caching), Proven experience implementing data governance policies and security compliance frameworks, using tools like Collibra, Alation, or native Snowflake features, Deep understanding of data security principles, including encryption standards (AES-256), key management (AWS KMS, Azure Key Vault), and secure data sharing protocols, Python skills for data transformation, automation, and API integration, Proven track record of designing and implementing enterprise system integrations for seamless data interoperability, Proficiency in data lakehouse architecture and data product development, Excellent communication skills for effective collaboration across diverse teams
Nice to Have
Snowflake SnowPro Core or Advanced certification (Data Engineer, Architect, or Security Specialist), Experience with data quality frameworks (Informatica Data Quality) and DataOps/CI/CD practices, Familiarity with AWS data services (S3, Glue, Lambda, Step Functions) for cloud-native data architectures, Experience with Snowflake Cortex AI and ML functions for embedding AI capabilities into data workflows, Knowledge of operationalizing ML models within data pipelines, including feature engineering and model monitoring, Experience developing Streamlit applications and familiarity with data visualization tools like Tableau or Power BI
What You'll Do.
Lead architectural design of data systems
Design and deploy ELT/ETL pipelines
Architect and enforce data governance frameworks
and audit security models
Establish and maintain data security protocols
Perform SQL query optimization
Mentor junior data engineers
Leverage cloud technologies
Collaborate across teams
Manage large-scale data projects
How You'll Work.
Team & Collaboration
Work closely with business and technical stakeholders; Collaborate across business and technical teams; Work effectively in team-oriented environments
Communication Scope
Excellent communication skills
Process & Methodology
Manage large-scale data projects from inception to completion
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 11 **The Team:** Our Enterprise Data Technology organization at S&P Global is a dynamic group of professionals dedicated to building innovative and scalable data solutions. We pride ourselves on our expertise in cloud technologies, particularly Informatica and Snowflake, and our commitment to data security and governance. Our team maintains SOC 2 compliance and implements enterprise-grade data governance using industry-leading frameworks and tools. We thrive on collaboration, working closely with business and technical stakeholders to drive impactful data initiatives. We value continuous learning and are always exploring new technologies, such as AI-driven models and advanced data visualization tools, to enhance our data platforms and deliver exceptional results. **What’s in it for you:** As a Senior Data Engineer, you will be at the forefront of transforming our data landscape, playing a crucial leadership role in shaping the future of our data-driven strategies. You will lead the design and implementation of enterprise-scale ELT/ETL pipelines using Informatica Cloud (IICS), ensuring data quality, security, and governance. You will mentor junior and mid-level engineers, providing technical guidance on best practices for Snowflake optimization, Informatica development, and secure data handling. Engage in exciting projects leveraging cutting-edge cloud and AI technologies, and work in a collaborative environment that encourages professional growth. Benefit from opportunities to expand your skills, influence strategic initiatives, and make a significant impact on our organization’s success. **Our Enterprise Data Technology organization at S &P Global** is dedicated to driving innovation and ensuring the seamless integration and management of data across our commercial and marketing platforms. Our team values collaboration, continuous learning, and a commitment to excellence. We pride ourselves on our ability to
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