# Senior Analyst, Data Integration & Workflows

**Company**: S&P Global Dow Jones Indices
**Location**: Virtual
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Virtual-Netherlands/Sr-Analyst--Data-Integration---Workflows_328065?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0b7c2c06-531

## Description

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.

**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.

- 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.

- Enablement & Co-Development:

- Lead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions.

- Assess SME technical readiness and recommend appropriate engagement models.

- Build reusable automation components and templates that accelerate consistent delivery across domains.

- Develop SME technical capabilities through targeted coaching, code reviews, and knowledge transfer.

- Quality Assurance & Production Readiness:

- Conduct comprehensive code reviews for SME-built and team-developed pipelines.

- Implement data reliability controls including validation rules, reconciliation checks, anomaly detection, and completeness/timeliness monitoring.

- Engineer observability and monitoring solutions by implementing logging standards, metrics, alerts, and runbooks.

- Operational Excellence & Continuous Improvement:

- Provide L3 support for production business-logic issues, collaborating with value stream SMEs to drive root-cause analysis and implement permanent fixes.

- Optimize pipeline performance and cost through appropriate partitioning strategies, caching, incremental processing patterns, and compute resource tuning.

- Capture and share lessons learned, updating engineering playbooks, patterns, and standards based on production outcomes and emerging best practices.

- Collaboration & Stakeholder Management:

- Collaborate with Data Integration Lead to shape team strategy, prioritize initiatives, and align technical approaches with organizational goals.

- Partner effectively with AI Solutions and Data Governance teams on cross-cutting concerns.

- Engage with Data Value Streams to understand business requirements, validate technical solutions, and ensure alignment with domain expertise.

**Requirements:**

- Experience:

- 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.

- Technical Expertise:

- 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.

- Leadership & Soft Skills:

- Strong technical leadership with demonstrated ability to lead complex initiatives and influence technical direction.

- Excellent mentorship and coaching abilities, with track record of developing technical talent and improving team capabilities.

- Outstanding collaboration skills with ability to partner effectively across technical and business teams in a matrixed organization.

## Skills

### Required
- ETL/ELT design patterns
- data pipeline architecture
- workflow orchestration frameworks
- Python
- SQL
- Scala
- data quality frameworks
- data validation techniques

### Nice to have
- index calculation processes
- financial data workflows
- SPDJI products and methodologies
- Agile/Scrum methodologies
- data lineage
- metadata management
- data cataloging tools

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Virtual-Netherlands/Sr-Analyst--Data-Integration---Workflows_328065?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)