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Cognite
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Senior Data Engineer-Support

Senior Data Engineer-Support

Cognite

3 - 8 years

4 - 7 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

computer science solution architecture customer support microsoft troubleshooting monitoring technical support sql python recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a Senior Data Engineer-Support with a strong blend of data and software

engineering skills. You will be responsible for supporting production environments,

troubleshooting customer deployments, and implementing proactive monitoring and

operational improvements.

This role requires both deep technical capabilities and a customer-first mindset, with a

focus on resolving issues efficiently, maintaining system stability, and driving continuous

improvement. You ll play a critical part in supporting 24/7 operational readiness in

collaboration with global teams.

Troubleshooting Issues & Customer Support

Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality.
Work closely with customer teams to understand production incidents, reproduce issues, and implement reliable fixes or workarounds.
Analyze data failures, system errors, and unexpected behaviours across API integrations, custom code, and third-party data sources.
Maintain and improve the reliability and performance of existing data pipelines by proactively identifying bottlenecks, configuration mismatches, or usage anomalies.
Collaborate with engineering and product teams to escalate platform issues, suggest improvements, and contribute to long-term resolutions.

Advanced and Enterprise-Level Support

Serve as the technical point of contact for customer support cases, particularly complex and high-priority issues.
Perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations.
Engage in regular case reviews, root cause analyses, and progress updates aligned with customer SLAs.
Participate in on-call rotations to ensure 24/7 coverage and rapid response to critical issues.
Implement and manage proactive monitoring and alerting systems to detect and address issues before they escalate.

Customer Enablement & Knowledge Sharing

Create clear documentation, how-to guides, and knowledge base articles to accelerate issue resolution and reduce repeat tickets.
Work closely with internal product and engineering teams to relay customer feedback and prfioritize product improvements.

Skills And Experience

Bachelor s or Master s degree in Computer Science, Engineering, or related fields.
3+ years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2/3 or engineering-focused support function.
Strong programming skills in Python and SQL; experience working with REST APIs.
Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI/CD tools.
Experience maintaining production-grade data pipelines and workflows in live customer environments.
Knowledge of industrial data systems or domains such as Oil & Gas, Power, or Manufacturing is a plus.
Experience with tools like Grafana, Power BI, or GraphQL is a bonus.
Strong problem-solving and troubleshooting skills.
Excellent English communication skills and a customer-centric mindset.

What We Offer

A high-impact role supporting enterprise customers using industry-leading data infrastructure.
The opportunity to work closely with global teams and cutting-edge technology.
Exposure to advanced enterprise support practices including SLAs, proactive diagnostics, and strategic alignment.
Growth opportunities into technical leadership, solution architecture, or platform reliability roles.

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