Overview

Position: Data Engineering Service ManagerExperience: 6–12 Years

Responsibilities

• The role will be responsible for ensuring the availability, reliability, scalability, security, performance, and operational stability of the platform across the complete data journey — from edge/industrial data acquisition through cloud data platforms, ETL/ELT pipelines, data lakes, and analytics services.
• This is primarily a service management and platform operations leadership role, with strong technical understanding of Data Engineering. The successful candidate will manage and mentor a team of 4 engineers and work closely with Data Engineering, Cybersecurity, Network, Cloud, Infrastructure and business teams.
• The platform includes technologies such as Data Collector, SAS Viya and Google BigQuery, along with data acquisition, streaming, batch processing and analytics capabilities.
• Take end-to-end ownership of the OT Data Engineering &
• Analytics platform
• Ensure smooth and reliable day-to-day operation of all platform components.
• Define and maintain operational standards, processes, runbooks and SOPs.
• Ensure platform services meet agreed SLA/SLO, availability, performance and data-quality objectives.
• Act as the primary technical/service escalation point for platform-related issues.
• Operations
• Lead L2/L3 production support for Data Engineering and Analytics platforms.
• Monitor platform health, data pipelines, integrations and data flows.
• Identify and resolve production issues with minimum business impact.
• Coordinate with engineering, cloud, network and infrastructure teams for complex incidents.
• Establish proactive monitoring and observability mechanisms.
• Ensure operational readiness for new data sources, applications and use cases.
• Incident, Problem &
• Change Management
• Own Incident, Problem and Change Management processes.
• Lead major incident resolution and coordinate cross-functional teams.
• Drive Root Cause Analysis (RCA) and corrective/preventive actions.
• Track recurring incidents and implement measures to prevent recurrence.
• Plan and coordinate platform changes, upgrades and releases.
• Ensure changes are implemented with appropriate risk assessment, testing and rollback plans.
• Data Engineering &
• Pipeline Management
• Oversee ETL/ELT pipelines across batch and streaming workloads.
• Ensure data pipelines are scalable, reusable, modular and maintainable.
• Standardize ETL/ELT development patterns and templates.
• Monitor pipeline failures, latency, data quality and processing performance.

Qualifications

• Strong understanding of Data Engineering concepts and data platforms.
• Hands-on/strong understanding of ETL/ELT pipelines.
• Understanding of data quality, data lineage and pipeline monitoring.
• Understanding of IIoT connectivity.
• Understanding of edge-to-cloud data flows is preferred.
• Google BigQuery / GCP experience is highly desirable.
• Strong experience in production support and platform operations.
• Incident, Problem and Change Management.
• Major Incident Management.
• Root Cause Analysis.
• SLA/SLO management.
• L2/L3 support.
• Monitoring and observability.
• Disaster Recovery and business continuity.
• Configuration, patch and upgrade management.
• ITIL knowledge/certification is preferred.
• Strong leadership and team-management skills.
• Excellent problem-solving and analytical abilities.
• Strong communication and stakeholder-management skills.
• Ability to work across technical and business teams.
• Strong ownership and accountability.
• Ability to handle critical production incidents under pressure.
• Good documentation and process-management skills.
• Ability to drive modernization and continuous improvement initiatives.
• Industrial / Manufacturing
• Oil & Gas
• Energy & Utilities
• Automotive
• Industrial Automation
• Engineering & Manufacturing