Context & Environment
Accountabilities:
- Facilitate the connection, ingestion, and archiving of TMSA source data into the TotalEnergies Cloud in a safe, secure, and structured manner.
- Analyze and define data architecture requirements by evaluating business processes and existing data structures and applications.
- Support the development of Digital projects within TMSA.
- Support productionized Digital solutions within TMSA, including assisting with incident resolution and planning future enhancements.
- Ensure all solutions developed are in compliance with TotalEnergies Company Rules, or otherwise assist in the development or modification of these rules.
- Work with IT to ensure compliance with TotalEnergies Security Rules and Guidelines for all solutions developed.
Activities
Data Strategy:
- Design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in AWS or equivalent.
- Architect and support the development of automated data pipelines (ETL, ELT) in collaboration with business stakeholders.
- Analyze and define data architecture requirements by evaluating business processes and existing data structures and applications.
- Propose architectures considering cost/spend in Azure/AWS or equivalent and develop recommendations to optimize data infrastructure.
- Design and implement data models to document the data architecture in its AS-IS and TO-BE states.
- Assist in defining a Cloud Data strategy, solutions, and roadmaps aligning with business, performance goals, and TotalEnergies IT strategy and Data Governance guidelines.
- Identify new digital techniques, tools, or best practices and assist in integrating them into the department's ways of working.
Functional Expertise:
- Provide expertise and guidance on leveraging cloud platform capabilities to business stakeholders.
- Act as liaison between key business users and IT for investigating, analyzing, and implementing cloud-based solutions, including documentation, data mapping, and source system modifications.
Solution Development:
- Assist in developing end-to-end solutions for new and existing digital projects.
- Run proof-of-concepts and explore opportunities for innovative cloud solutions.
Solution Support:
- Support incident resolution for productionized digital solutions.
- Ensure production services are optimally configured and aligned with best practices to protect data.
- Support the development of automated data pipelines in collaboration with stakeholders and IT teams.
- Work closely with IT to define and develop the digital support process for industrialization.
Candidate Profile
Qualifications/Experience required
Required:
- A numerate honors degree (e.g., Computer Science, Mathematics, Engineering).
- Ability to develop technical solutions and functional specifications based on business needs.
- Knowledge of leading technologies including:
- Enterprise data modeling
- Data ingestion and integration
- Data storage and security
- Data processing and distributed computing
- Software engineering principles and application architectures
- Hardware infrastructure and networking
- Extensive experience with relational databases, including administration.
- Proven experience and best practices knowledge of cloud platforms (Microsoft Azure & AWS).
- Experience integrating cloud services with on-premise data sources securely.
- Excellent interpersonal, communication, and technical presentation skills.
- Organized, methodical, and capable of multitasking under tight deadlines.
Preferred:
- Understanding of the Downstream industry and main strategic drivers.
- Knowledge of multi-tier, high-availability cloud and on-premise data engineering solutions in complex environments.
- Experience with Microsoft Azure and AWS tech stacks.
- Experience working within Agile teams.
- Proficiency in English.
Additional Information
Job dimensions:
- Develop and deliver cloud-based data engineering solutions.
- Provide support and guidance on data and technology topics across digital squads.
- Serve as the Centre of Excellence for cloud development within TMSA.
- Act as Chapter Lead for Data Engineers to ensure best practices in data architecture are applied consistently.
TotalEnergies values diversity, promotes individual growth, and offers equal opportunity careers.