Senior Analyst, Data Integration – Workflows

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🕒 May 10

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S&P Global

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1860

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

Finance • Enterprise • Artificial Intelligence

S&P Global is a leading provider of market intelligence, ratings, analytics, and benchmark indices. The company offers comprehensive insights across various domains including finance, commodities, mobility, and sustainability. Renowned for its data-driven solutions, S&P Global assists organizations in navigating complex market trends, evaluating credit risk, and understanding the implications of artificial intelligence and energy transitions. Its diverse offerings, such as S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices, provide critical data and analytics to businesses, government entities, and investors worldwide.

📋 Description

• Lead complex data integration initiatives from design through production deployment, ensuring solutions are scalable, observable, and aligned with enterprise architecture standards • Design and implement production-grade data pipelines (batch and streaming) that transform raw inputs into trusted curated outputs, incorporating robust error handling, validation, and reconciliation controls • Establish and evangelize engineering best practices for ETL/ELT patterns, workflow orchestration, data quality controls, and operational observability • Drive technical decision-making for pipeline architecture, technology selection, and design patterns, balancing business requirements with technical feasibility and long-term maintainability • Partner with PPD on technical planning and feasibility, providing realistic estimates, identifying technical dependencies, and shaping scope • Lead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions • Conduct comprehensive code reviews for SME-built and team-developed pipelines, ensuring adherence to standards • Implement data reliability controls including validation rules, reconciliation checks, anomaly detection, and completeness/timeliness monitoring • Provide L3 support for production business-logic issues, collaborating with value stream SMEs to drive root-cause analysis and implement permanent fixes

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; Master's degree preferred • 8+ years of experience in data engineering, data integration, or related technical roles with progressive responsibility • 3+ years of experience in technical leadership roles, including mentoring engineers and leading complex technical initiatives • Proven track record of designing and implementing production data pipelines in complex enterprise environments • Experience in financial services, index management, or similar data-intensive industries preferred • Proficiency in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration frameworks • Advanced programming skills in languages commonly used in data engineering (Python, SQL, Scala, or similar) • Solid understanding of data quality frameworks, data validation techniques, reconciliation patterns, and anomaly detection • Experience implementing observability, monitoring, and alerting systems for production data pipelines • Familiarity with data governance principles, metadata management, and compliance frameworks.

🏖️ Benefits

• Health & Wellness: Health care coverage designed for the mind and body. • Flexible Downtime: Generous time off helps keep you energized for your time on. • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.