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Vijay Venkatesh ( Proprietor of Cynosure Corporate Solutions )
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Chennai · On-site · 5-8 Yrs · Oct 29
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Data Reliability Support Engineer Enterprise
Responsibilities
- Design enterprise-wide data observability frameworks and monitor data platform health, freshness, volume, completeness, and schema changes.
- Develop automated anomaly detection, data validation, alerting, and incident management frameworks.
- Define, monitor, and improve data SLAs and SLOs.
- Implement and enforce data contracts with Data Governance teams and upstream system owners.
- Integrate data quality metrics with governance platforms and support metadata, lineage, and data catalogue initiatives.
- Lead root cause analysis, coordinate corrective actions, and escalate repeated data contract violations.
- Collaborate with Data Engineering, Data Governance, Platform, and source system teams to improve reliability and operational efficiency.
Qualifications
- Salary: 20L46.5L a year
- We are looking for an experienced Data Reliability Support Engineer to ensure data quality, reliability, observability, and compliance across enterprise data platforms. The candidate will develop automated validation frameworks, monitor data pipelines, enforce data contracts, and ensure SLA-compliant data reaches downstream platforms.
- 510+ years of experience in Data Engineering, Data Platform Engineering, or Reliability Engineering.
- Strong proficiency in SQL and Python.
- Hands-on experience with Grafana, Monte Carlo, or Acceldata.
- Familiarity with Microsoft Azure, Azure Data Lake Storage (ADLS), Dynamics 365, and CRM systems.
- Strong understanding of distributed systems, enterprise data architecture, data contracts, metadata management, data lineage, and data governance.
- Familiarity with CI/CD pipelines and Infrastructure as Code (IaC).
- Strong analytical, troubleshooting, root cause analysis, stakeholder management, and cross-functional collaboration skills.
- Proactive problem-solving approach, adaptability, and commitment to continuous improvement.
- Key Performance Indicators (KPIs)
- Reduction in downstream data incidents and recurring data defects.
- Increase in data sources covered by formal data contracts.
- Improvement in SLA adherence, data freshness, completeness, and overall quality metrics.
- Reduction in reactive troubleshooting. .
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Job application FAQ
Last updated 3 November 2026
- How do I apply for Data Reliability Support Engineer Enterprise at Vijay Venkatesh ( Proprietor of Cynosure Corporate Solutions )?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Vijay Venkatesh ( Proprietor of Cynosure Corporate Solutions ) may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Reliability Support Engineer Enterprise role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Reliability Support Engineer Enterprise remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Reliability Support Engineer Enterprise role at Vijay Venkatesh ( Proprietor of Cynosure Corporate Solutions )?
- This is a mid-level Data Reliability Support Engineer Enterprise role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.