Data Steward - OT

Adani Group; Ahmedabad District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Adani Group seeks a detail-oriented Data Steward - OT to join the Enterprise Data team. You will manage OT data quality, asset modeling, and data standardization across PLC, DCS, SCADA, and IoT systems and cloud platforms like Databricks.

You will collaborate with plant operations, IT, and analytics to ensure reliable data and adherence to governance standards. 3–5 years in data management is preferred.

Qualifications

• Bachelor’s degree in Engineering, Data Science, IT or related field.
• 3–5 years hands-on experience in data stewardship, data quality, or operational data analytics.
• Strong understanding of industrial telemetry, time-series data, sensor networks, and automation controllers (PLC, DCS, SCADA).
• Hands-on experience with Databricks (Lakehouse, Delta tables) and cloud data infrastructure.
• Proficiency in SQL, data validation techniques, and exploratory data analysis on large datasets.
• Familiarity with data visualization platforms (Tableau, Power BI, Looker, Grafana) and data cataloging tools.
• Demonstrated ability to maintain data integrity, troubleshoot data anomalies, and document data flows effectively.

Responsibilities

• Manage, monitor, and maintain the quality, accuracy, and completeness of OT data streams and telemetry datasets.
• Define and execute rule-based data validation, cleanup procedures, and anomaly detection.
• Standardize physical-to-digital asset modeling, schema mapping, and tag naming conventions.
• Oversee and validate OT data curation, transformation rules, and table definitions in Databricks/ lakehouse environments.
• Maintain organized data catalogs, data dictionaries, and metadata documentation for OT and plant data assets.
• Ensure adherence to enterprise data governance policies, standards, data security, and lifecycle management.
• Collaborate with engineering, plant operations, IT, and analytics teams to align data requirements with business needs.
• Conduct root-cause analysis on data quality issues and establish alerting workflows.
• Support BI, dashboards, and analytics teams by providing validated, high-fidelity time-series data.

Skills

Analytical mindset

Communication skills

Integrity

Adaptability

Education

Engineering/related field

Tools

Databricks

SQL

Tableau

Power BI

Grafana

Looker

Job description

Purpose/Objective

We are seeking a detail-oriented and analytical Data Steward - Operational Technology (OT) to join our Enterprise Data team. The ideal candidate will have a minimum of 3-5 years of experience in data management, data quality, and operational technology datasets. In this role, you will be responsible for managing data quality, cataloguing, asset modeling, and data standardization across operational systems (PLC, DCS, SCADA, IoT) and modern cloud data platforms like Databricks. You will work closely with plant operations, IT, data engineering, and analytics teams to ensure high data reliability, consistency, and alignment with enterprise data governance standards.

Key Responsibilities of Role

• Key Responsibilities1. Manage, monitor, and maintain the quality, accuracy, and completeness of operational technology (OT) data streams and telemetry datasets.
• 2. Define and execute rule-based data validation, cleanup procedures, and anomaly detection logic to resolve corrupted, missing, or duplicated sensor tags.
• 3. Standardize physical-to-digital asset modeling, schema mapping, and tag naming conventions across industrial assets.
• 4. Oversee and validate OT data curation, transformation rules, and table definitions within Databricks / Enterprise Data Lakehouse environments.
• 5. Maintain organized data catalogs, data dictionaries, and metadata documentation for OT and plant data assets.
• 6. Ensure adherence to enterprise data governance policies, standards, data security, and lifecycle management protocols.
• 7. Collaborate with engineering, plant operations, IT, and downstream analytics teams to align operational data requirements with business needs.
• 8. Conduct root-cause analysis on data quality issues and establish alerting workflows to maintain continuous data flow.
• 9. Support business intelligence, dashboarding, and advanced analytics teams by providing validated, high-fidelity time-series and operational data.
• Personal Attributes1. Analytical thinker with a structured and methodical approach to problem-solving.
• 2. High level of integrity, professionalism, and commitment to data quality and precision.
• 3. Strong communication and interpersonal skills to build effective cross-functional relationships.
• 4. Adaptable to evolving technologies, changing business needs, and project demands.

Technical Competencies

• OT Data Stewardship
• Data Governance & Quality
• Databricks & SQL Analysis
• Asset & Tag Modeling

Qualifications and Experience

• Required Skills & Qualifications1. Degree in Engineering (Instrumentation, Computer Science, Electrical), Data Science, Information Technology, or a related field.
• 2. Minimum of 3-5 years of hands-on experience in data stewardship, data quality management, or operational data analytics.
• 3. Strong understanding of industrial telemetry, time-series data, sensor networks, and automation controllers (PLC, DCS, SCADA).
• 4. Hands-on experience or working familiarity with Databricks (Lakehouse architecture, Delta tables, SQL querying) and cloud data infrastructure.
• 5. Proficiency in SQL, data validation techniques, exploratory data analysis, and working with large operational datasets.
• 6. Familiarity with data visualization platforms (such as Tableau, Power BI, Looker, or Grafana) and data cataloguing tools.
• 7. Demonstrated ability to maintain data integrity, troubleshoot data anomalies, and document data flows effectively.