Data Platform Manager

Key Responsibilities

• Lead the strategy, roadmap, and operational management of the enterprise data platform, ensuring scalability, reliability, security, and performance.
• Partner with business and IT leaders to align platform capabilities with enterprise priorities and data strategy objectives.
• Establish standards and operating models that promote consistency and long-term platform sustainability.
• Drive platform modernization initiatives that improve data accessibility, automation, and business value.
• Lead the Data Engineering function responsible for the development and operation of enterprise data pipelines and integration services.
• Ensure data pipelines are reliable, scalable, and capable of supporting enterprise analytics, reporting, automation, and AI use cases.
• Establish engineering standards and best practices for data integration, testing, deployment, monitoring, and operational support.
• Drive adoption of automation, CI/CD, and modern data engineering practices to improve efficiency and reliability.
• Lead the Data Architecture and Database Administration functions, ensuring alignment with enterprise data standards and governance objectives.
• Support data quality, metadata management, lineage, and stewardship initiatives that improve trust and transparency across enterprise data assets.
• Ensure platform services meet business requirements for availability, recoverability, security, and compliance.
• Establish operational metrics and service-level objectives that drive continuous improvement and platform reliability.
• Lead, mentor, and develop a high-performing team of Data Engineers, Data Architects, and Database Administrators.
• Foster a culture of ownership, collaboration, innovation, and continuous learning.
• Build strong partnerships with business leaders, technology teams, and external partners to ensure successful delivery of data platform capabilities.
• Serve as a trusted advisor to the Director of Data & Analytics on platform strategy, technology investments, and organizational priorities.

Education Qualifications & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Experience: 7+ years of experience in data engineering, data platform management, or related disciplines.
• Leadership experience: 3+ years of leadership experience managing technical teams in enterprise data environments.
• Experience: Proven experience building and operating cloud-based data platforms, with extensive expertise in Snowflake.
• Experience: Experience leading teams responsible for data engineering, architecture, platform operations, and database administration.
• Industry experience: Industry experience in upstream oil and gas is preferred, ideally with exposure to drilling, production operations, reserves, and regulatory reporting.

Skills & Competencies

• Expertise: Deep expertise in Snowflake architecture, administration, performance optimization, security, and governance.
• Understanding: Strong understanding of oil and gas data domains (e.g., wells, completions, SCADA, production volumes, reserves, HSE).
• Modern practices: Strong understanding of modern data engineering practices, ETL/ELT frameworks, cloud data platforms, and data lifecycle management.
• Technologies: Experience with SQL, dbt, Fivetran, CI/CD practices, and cloud-native data technologies.
• Success: Demonstrated success leading technical teams and delivering enterprise-scale data initiatives.
• Skills: Exceptional stakeholder management, communication, and leadership skills.

Work Environment & Physical Requirements

• Environment: Primarily office-based with occasional travel to field offices and operational sites as needed.
• Physical: Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
• Activities: May involve walking, climbing, bending, or handling equipment during site visits.
• Conditions: Possible exposure to varying weather conditions (heat, cold, rain) while on-site at field offices.
• Availability: Availability for emergency response and incident management, including after-hours support when required.