Data Architect

At Alstom we understand transport networks and what moves people. From high-speed trains metros monorails and trams to turnkey systems services infrastructure signalling and digital mobility we offer our diverse customers the broadest portfolio in the industry. Every day 80000 colleagues lead the way to greener and smarter mobility worldwide connecting cities as we reduce carbon and replace cars.

We are currently seeking an experienced and visionary Data Architect to join our team. The successful candidate will lead the design and implementation of scalable and innovative data solutions. This role requires collaboration with various experts including IoT specialists data scientists software engineers and API architects to develop high-quality data-driven platforms.

RESPONSIBILITIES:

1. Define develop manage & sustain core components of the data platform such as:
   • Multi-tenant data collection and storage
   • Multi-tenant streaming and data processing
   • Shared data model including NoSQL modeling
   • Data management and security components
   • Multi-tenant and customizable analytical dashboards
2. Develop IT solutions with partners (startups IT companies other industrial companies suppliers universities research institutes) to package Software as a Service (SaaS) offering along a technical team of Data/DevOps engineers.
3. Lead the design and architecture deployment of next-generation data solutions within a lean startup pathway collaborating with data engineers DevOps engineering & mobility experts data scientists software engineers & HMI designers.
4. Understand customer needs and provide an architecture design to meet these requirements.
5. Own the overall technical vision of the solution regarding scalability security performance reliability and recovery.
6. Build multi-tenant streaming and data processing capabilities in batch and near-real-time flows.
7. Evaluate the opportunities from emerging technologies.
8. Apply strong testing and quality assurance practices.

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EDUCATION :

• Bachelors or Masters degree in Computer Science Engineering or a related field.
• Preferred:Data Science and/or Machine Learning Cybersecurity.

Competencies & Skills:

• Extensive knowledge of data modeling analytics and software architecture (preferably Java and Python).
• Proven experience in designing and developing scalable solutions with data processing engines for production environments (e.g. Apache Spark).
• Experience in various data management platforms and cloud technologies (e.g. Apache NIFI Kubernetes Docker Elasticsearch).
• Experience in designing databases MySQL PostgreSQL Cassandra MongoDB and eliminating performance bottlenecks.
• Knowledge of cloud technologies (Azure AWS GCP) msfabric lakehouse deltalake
• Knowledge of data science/machine learning or experience designing data pipelines for ML models.
• Knowledge of network and security:SSL certificates IPSEC Active Directory LDAP.
• Experience using data governance tools:Collibra Apache Atlas.
• Knowledge of the Elastic/ELK stack.
• Knowledge about Machine Learning with scikit-learn R Tensorflow or another AI framework or toolkit.
• Proven experience in deploying and maintaining solutions on cloud and/or on-premise environments.
• Proven experience in providing technical guidance to teams.
• Proven experience in managing customer expectations.
• Proven track record of driving decisions collaboratively resolving conflicts and ensuring follow-through.
• Extensive knowledge of data processing and software development in Python or Java/Scala environment.
• Proven experience in designing stable solutions testing and debugging.
• Demonstrated technical guidance with worldwide teams.
• Demonstrated teamwork and collaboration in a professional setting.
• Proven capabilities with worldwide teams.
• Proficient in English; proficiency in French is a plus.

Performance Measurements:

• On-Time Delivery (OTD)
• Developments Quality Cost and Delivery (QCD)

Important to note

As a global business were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone