# Lead Service Data Engineer

**Company**: Thomson Reuters
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Bengaluru-Karnataka/Lead-Service-Data-Engineer_JREQ203312?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_342ba26f-889

## Description

The Service & Operational Insights organization is seeking a Lead Service Data Engineer to join the growing Service & Operational Data team. This role involves building, scaling, and operationalizing the data platform that powers service reliability, operational visibility, and data-driven decision-making across technology operations.

**Key Responsibilities:**

- Implement the target architecture: Translate the operational data architecture and roadmap into concrete, well-engineered pipelines.

- Own pipeline reliability and operations: Build batch and streaming pipelines ingesting data from various systems.

- Operationalize data quality and trust: Implement data contracts, validation rules, testing frameworks, and lineage tracking.

- Deliver operational data products: Build and maintain curated datasets, semantic layers, and metrics definitions.

- Drive engineering excellence and mentorship: Establish coding standards, CI/CD practices, and reference implementations.

- Partner cross-functionally: Work with the Architect and Service Reporting team to influence data model design.

- 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.

- Strong proficiency in SQL and Python, with proven experience designing and delivering production-grade batch and streaming data pipelines.

- Experience building data products and applying security governance principles.

- Familiarity with ITSM, observability, and cloud data sources.

- 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.

**What's in it For You?:**

- Hybrid Work Model: Flexible hybrid working environment.

- Flexibility & Work-Life Balance: Supportive workplace policies.

- Career Development and Growth: Culture of continuous learning and skill development.

- Industry Competitive Benefits: Comprehensive benefit plans.

- Culture: Globally recognized, award-winning reputation for inclusion and belonging.

- Social Impact: Opportunities to make an impact in the community.

## Skills

### Required
- SQL
- Python
- Data Engineering
- ITSM
- observability
- cloud data sources

### Nice to have
- AIOps
- correlation
- anomaly detection
- SLA/SLO enforcement frameworks
- capacity planning
- DevOps technologies

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/India-Bengaluru-Karnataka/Lead-Service-Data-Engineer_JREQ203312?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)