Lead – Data Ops

Job Purpose

To lead the development and management of robust data infrastructure and pipelines across the CBG network, enabling the delivery of data as a product. This role ensures high-quality, accessible, and timely data is available for advanced analytics, reporting, and decision-making across all operational and business functions.

Key Responsibilities

Data Infrastructure Development:

• Design, implement, and manage scalable data architecture for collecting, storing, and processing large volumes of data from CBG plant systems (SCADA, PLC, IoT devices, SAP, EMS, LIMS, etc.).
• Own the cloud/on-prem data lake, data warehouse, and structured databases supporting both real-time and batch processing.
  
  

Pipeline Engineering & Orchestration

• Develop and maintain robust, automated data pipelines using modern ETL/ELT tools
• Ensure reliability, efficiency, and monitoring of all data flows from source to destination systems.
  
  

Data Quality & Governance

• Implement processes to ensure data accuracy, consistency, completeness, and freshness.
• Work with Data Governance and Compliance teams to define standards, validation rules, and audit trails.
  
  

Cross-Functional Collaboration

• Collaborate with data scientists, business analysts, application teams, and plant operations to understand and prioritize data requirements.
• Enable self-service data access through APIs, secure dashboards, and curated datasets.
  
  

Metadata & Cataloguing

• Maintain a data catalogue and lineage tracking system to improve data discoverability and reusability across the organization.
• Provide documentation and training on data schema, usage, and access policies.
  
  

Security & Compliance

• Ensure data is stored and accessed securely, following best practices in encryption, role-based access, and regulatory compliance.
  
  

Key Skills

• B.E. / B.Tech
• Expertise in SQL, Python, DevOps and distributed data technologies (e.g., Spark, Kafka).
• Experience with cloud platforms such as AWS, Azure, or GCP, and associated data services Strong understanding of CI/CD for data pipelines and MLOps integration.
• Familiarity with industrial data sources (OPC-UA, MQTT, SCADA systems) is highly desirable.
• Excellent leadership, documentation, and stakeholder communication skills.