Data Steward

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 to 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.