S&P Dow Jones Indices
Financial Services
SrAnalyst,DataIntegration&Workflows
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“Sr Analyst, Data Integration & Workflows at S&P Dow Jones Indices. Skills: Data Integration, Workflow Automation, Production Data Pipelines, Technical Leadership. Lead complex data integration initiatives. Design and implement production-grade data pipelines”
What You'll Achieve.
Deliver Production-Ready Solutions; Build SME Capability; Drive Reusability; Ensure Operational Excellence; Foster Technical Excellence; Solution Delivery Quality; SME Capability Development; Operational Reliability
Industry & Context.
Problem-solving mindset; Root-cause analysis; Sustainable solutions; Continuous improvement
Attend at least one in-person interview
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, Information Systems, or related, 8+ years of experience in data engineering, data integration, or related technical roles, 3+ years of experience in technical leadership roles, Proven track record of designing and implementing production data pipelines, Proficiency in ETL/ELT design patterns, Proficiency in data pipeline architecture, Proficiency in workflow orchestration frameworks, Advanced programming skills in Python, Advanced programming skills in SQL, Advanced programming skills in Scala, Solid understanding of data quality frameworks, Solid understanding of data validation techniques, Solid understanding of reconciliation patterns, Solid understanding of anomaly detection, Experience implementing observability, Experience implementing monitoring, Experience implementing alerting systems, Technical leadership, Excellent mentorship and coaching abilities, Outstanding collaboration skills, Clear communication abilities, Problem-solving mindset, Adaptability and pragmatism, Stakeholder management skills
Nice to Have
Master's degree preferred, Experience in financial services, Experience in index management, Experience with AI/ML data pipeline requirements, Experience with AI/ML integration patterns, Certification in Python or SQL Development, Experience with Agile/Scrum methodologies, Experience with product-oriented delivery models, Knowledge of data lineage, Knowledge of metadata management, Knowledge of data cataloging tools, Experience with index calculation processes, Experience with financial data workflows, Experience with SPDJI products and methodologies
What You'll Do.
Lead complex data integration initiatives
Design and implement production-grade data pipelines
Establish and evangelize engineering best practices
Drive technical decision-making for pipeline architecture
Partner with PPD on technical planning
Lead hands-on enablement with value stream SMEs
Assess SME technical readiness
Build reusable automation components
Develop SME technical capabilities
Create and maintain technical documentation
Conduct comprehensive code reviews
Implement data reliability controls
Engineer observability and monitoring solutions
Prepare IT-ready handover artifacts
Partner with IT during QA and deployment
Provide L3 support for production issues
Optimize pipeline performance and cost
Implement workflow orchestration patterns
Capture and share lessons learned
Monitor operational metrics
How You'll Work.
Team & Collaboration
Collaborate with Data Integration Lead; Partner effectively with AI Solutions teams; Partner effectively with Data Governance teams; Engage with Data Value Streams; Work with Data Services & Strategy teams; Build relationships with IT teams; Build relationships with PPD teams; Co-develop solutions with SMEs; Validate business logic with SMEs; Assess SME technical capabilities; Align integration efforts with platform capabilities
Communication Scope
Articulate complex technical concepts; Translate business requirements into technical solutions
Process & Methodology
Technical Planning, Feasibility Assessments, Estimating, Identifying Technical Dependencies, Shaping Scope, Delivery Commitments
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 11 **The Team:** The Senior Analyst, Data Integration & Workflows plays a critical role within the Data AI & Enablement organization, serving as a senior technical leader responsible for designing, implementing, and operationalizing production-grade data pipelines and workflow automation that power SPDJI's index and analytical solutions. This role combines hands-on technical expertise with leadership capabilities to drive delivery excellence, mentor technical talent, and ensure all data integration solutions meet enterprise standards for quality, reliability, and maintainability. **Responsibilities and Impact:** Technical Leadership & Solution Delivery * 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 across the team and value streams * 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 to ensure achievable delivery commitments Enablement & Co-Development * Lead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions—adapting approach based on SME technical capability * Assess SME technical readiness and recommend appropriate engagement models (SME-led with review, co-development, or
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