Ensure reliability, scalability, and performance of the enterprise data platform. Automate IaC, CI/CD, and deployments; manage observability, governance, FinOps, and incident response; collaborate with engineering and analytics teams to improve platform reliability and developer experience.
Role Overview
We are looking for a Data Platform Reliability Engineer to ensure the reliability, scalability, and performance of our enterprise data platform. This role blends Site Reliability Engineering (SRE) and DevOps practices to support modern cloud-based data ecosystems built on Google BigQuery, lakehouse architectures, and distributed data pipelines.
You will play a key role in building highly resilient, governable, observable, and cost-efficient data platforms, while enabling engineering teams to operate at scale with automation and best practices.
Key Responsibilities
- Automate infrastructure provisioning and operations using Infrastructure as Code (IaC)
- Implement and manage CI/CD pipelines for data and platform deployments
- Implement and manage Data Governance tools such as Collibra
- Improve system resilience through capacity planning, performance tuning, and fault tolerance design
- Optimize cloud usage and costs through FinOps best practices
- Collaborate with engineering and analytics teams to improve platform reliability and developer experience
- Drive security, compliance, and access control best practices
- Own platform reliability and availability for enterprise data systems (SLAs, SLOs, error budgets)
- Monitor and manage data cloud infrastructure, ingestion frameworks, and transformation workflows
- Lead incident management, root cause analysis (RCA), and postmortems
Required Skills & Experience
- 3–5 years of experience in SRE, DevOps, or platform engineering roles
- Strong experience with cloud platforms (GCP preferred; AWS/Azure is a plus)
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Proficiency in Python, Bash, and SQL
- Experience with Infrastructure as Code tools (Terraform preferred)
- Strong understanding of monitoring and observability tools (logs, metrics, tracing)
- Experience managing production incidents and on-call rotations
- Exposure to Kubernetes / containerization
- Understanding of data governance and security practices
- Exposure to AI/ML or GenAI tools for automation and operational efficiency
Preferred Skills
- Experience with data observability tools/frameworks
- Knowledge of Collibra or similar Data Governance tools
- Knowledge of Looker / Tableau / Power BI or similar BI tools
- Understanding of cost optimization (FinOps) in cloud data platforms
What You Will Bring
- Strong ownership mindset and bias for automation
- Ability to troubleshoot complex distributed systems under pressure
- Passion for improving system reliability and performance at scale
- Excellent collaboration and communication skills
- Willingness to participate in a 24/7 support/on-call rotation
Why Join Us
- Build and scale next-gen cloud data platforms powering enterprise-wide analytics
- Join Pearson, a global leader transforming lives through learning and innovation
- Work hands-on with GenAI, AI-powered data engineering, and intelligent automation
- Shape the future of self-service data, data products, and observability at scale
- Collaborate with high-performing global teams solving real-world, high-impact problems
Accelerate your career in a fast-evolving, innovation-driven data ecosystem
#LI-P1
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead independent manual and automated quality assurance testing for software projects. Develop and contribute to Java-based automation frameworks using BDD, Cucumber, Selenium, and related tools. Execute diverse tests, analyze failures, identify root causes, manage defects through closure, and ensure accurate test documentation. Collaborate with developers on feature-branch certification, apply AI tools, and support agile delivery while maintaining quality, timelines, and customer-focused technology solutions.
Top Skills:
Ai ToolsAmazon EksBddCucumberDevOpsDockerGoogle Cloud Platform (Gcp)JavaJmeterKubernetesSeleniumTest Management Systems
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads delivery of enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native engineering, CI/CD, Terraform, Responsible AI, and AI adoption. Partners with product, security, architecture, and business teams while managing risks and executive communication. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.
Top Skills:
Agentic AiAmazon ConnectAmazon LexAWSAzureCcaasCi/CdConversational AiDevOpsDevsecopsFive9Generative AiGenesysGoogle AdkGCPGoogle DialogflowLlmsNiceNode.jsPythonRagShift-Left EngineeringTerraformTypescript
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads quality engineering for contact center, BOT, RPA, and enterprise applications. Owns test strategy, planning, automation, performance testing, deployment validation, release readiness, and post-release monitoring. Develops and maintains automated scripts, enhances testing frameworks, establishes QA governance and metrics, analyzes quality trends, and mentors QA teams. Collaborates with technical and business stakeholders while applying AI tools, CI/CD, and DevOps practices to improve quality and scalability.
Top Skills:
AIApi TestingBotC#Ci/CdCyaraDatabase TestingDevOpsIntegration TestingJavaJavaScriptPerformance TestingPythonRpaUi Testing
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
