Lead Service Data Engineer

Thomson Reuters Corp.; India; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Hybrid work model

Career development and growth

Mental health days and wellbeing

Retirement savings

Job summary

Refinitiv is seeking a Lead Service Data Engineer to build, scale, and operate a data platform that powers service reliability and data-driven decisions across technology ops. You will translate target-state architecture into robust pipelines and data products with governance and security in mind.

You will own batch and streaming pipelines ingesting ITSM, observability, cloud logs, and infra metrics, implement data contracts, SLAs, and provide on-call-ready operations while mentoring engineers

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Experience designing and delivering production-grade batch and streaming data pipelines.
• Familiarity with ITSM, observability, and cloud data sources; data quality practices.

Responsibilities

• Translate target architecture into robust pipelines and data products with governance.
• Build and operate batch and streaming pipelines from ITSM, observability platforms, and cloud logs/traces.
• Implement data contracts, validation, testing, and lineage tracking to enforce SLAs/SLOs.

Skills

SQL

Python

Data pipelines

Data products

Data governance

Problem-solving

Education

Bachelor's degree in CS/IT or related field

Tools

Jenkins

CodePipeline

Terraform

CI/CD

Cloud data sources

Job description

The Service & Operational Insights organization is seeking a **Lead Service Data Engineer** to join our growing Service & Operational Data team. This candidate will build, scale, and operationalize the data platform that powers service reliability, operational visibility, and data-driven decision-making across technology operations, partnering closely with the Enterprise Architect, Service & Operational Data, and other key stakeholders to translate target-state architecture, canonical data models, and governance standards into robust, production-grade pipelines and data products. ## **Key Responsibilities*** **Implement the target architecture:** Translate the operational data architecture and roadmap (incidents, changes, problems, alerts/events, CMDB, SLOs/SLIs, capacity, cost) into concrete, well-engineered pipelines, implementing canonical schemas such as service topology, event normalization, and incident timelines.* **Own pipeline reliability and operations:** Build batch and streaming pipelines ingesting data from ITSM, observability platforms, cloud logs/metrics/traces, CI/CD, and infrastructure systems — with strong monitoring, alerting, and on-call practices.* **Operationalize data quality and trust:** Implement data contracts, validation rules, testing frameworks, and lineage tracking; enforce dataset SLAs/SLOs and drive remediation when breached.* **Deliver operational data products:** Build and maintain curated datasets, semantic layers, and metrics definitions powering dashboards, analytics, and automation use cases (AIOps, correlation, anomaly detection).* **Drive engineering excellence and mentorship:** Establish coding standards, CI/CD practices, and reference implementations; provide technical direction through design/code reviews and mentor team members.* **Partner cross-functionally:** Work with the Architect and Service Reporting team to influence data model design; collaborate with SRE, IT Ops, Security, and Analytics stakeholders to prioritize high-value use cases (incident reduction, alert noise reduction, change failure rate, capacity planning).* **Implement governance and security controls:** Build RBAC/ABAC enforcement, retention policies, encryption, and auditability into pipelines and platforms.* **Support the roadmap:** Provide engineering estimates, identify technical risks, and help sequence delivery of the operational data roadmap. ## **Required Qualifications** : * Bachelor's degree in Computer Science, Information Technology, or related field, with 10 + years of experience as a Data Engineer working with complex, large-scale data* Strong proficiency in SQL and Python, with proven experience designing and delivering production-grade batch and streaming data pipelines* Experience building data products (curated datasets, semantic layers, metrics definitions) and applying security governance principles (RBAC/ABAC, encryption, retention, auditability)* Familiarity with ITSM, observability, and cloud data sources (incidents, changes, alerts/events, CMDB, logs/metrics/traces), along with data quality practices (contracts, testing, lineage)* Strong problem-solving skills with minimal supervision, excellent communication, and ability to manage multiple projects and deadlines in parallel.## **Preferred Qualifications :** * Experience supporting AIOps, correlation, or anomaly detection use cases* Familiarity with SLA/SLO enforcement frameworks for data platforms* Experience with capacity planning, cost, and reliability engineering data domains* Prior experience partnering with data architecture functions to shape canonical schemas and data models* Experience with DevOps technologies such as Jenkins, CodePipeline, CloudFormation, Terraform, Ansible#LI-SM1**What’s in it For You?*** **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:** We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.