Lead Service Data Engineer

India, Bengaluru, Karnataka

Live, first seen by us 37 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Turn the operational data architecture into production pipelines and canonical schemas
Build batch and streaming pipelines from ITSM, observability, cloud and CI/CD sources
Implement data contracts, validation, testing and lineage; enforce dataset SLAs
Build curated datasets, semantic layers and metrics for dashboards and automation
Set coding standards and CI/CD practices, and mentor team members through code reviews

From the employer’s posting

Translate the operational data architecture and roadmap

Build batch and streaming pipelines ingesting data from ITSM, observability platforms, cloud logs/metrics/traces, CI/CD, and infrastructure systems

Implement data contracts, validation rules, testing frameworks, and lineage tracking

Build and maintain curated datasets, semantic layers, and metrics definitions

Establish coding standards, CI/CD practices, and reference implementations; provide technical direction through design/code reviews and mentor team members

What you’ll bring

All qualifications

Core experience

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)

Preferred experience

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

Qualification wording

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)

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

Education & alternatives

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

About Thomson Reuters

We serve professionals across legal, tax, accounting, compliance, government, and media.

In the employer’s words · Read in context

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Status in our records: Live
First seen by us: Sep 28, 202637 days ago
Recorded sightings: 78
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Day 37

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Where the posting names them

- 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)

- 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

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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