Data Architect

Req ID:453394 

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, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Smart Transportation is a strategic program that aims at developing Alstom new offering in mobility. This set of initiatives will mainly consist in new digital solutions but will also cover some other “smart” solutions in energy efficiency, traffic operations, or passenger services.

To achieve this objective Alstom has created a Digital Factory that aims at being at the forefront of digital revolution by developing expertise in machine learning, data science, video analysis, sensor design, roaming data capture, etc. and building its digital assets.

Alstom has developed Mobility Data Platform, aiming at designing, building and operating a multi-tenant Data Platform for Smart Transportation and IoT Analytics targeting globally the Alstom’s customers, based upon a cloud Platform (Azure) or similar, and DevOps, distributed data capture(NIFI) & flow  streaming (Kafka), NoSQL (Cassandra, Elasticsearch), Hadoop (Spark), Dashboarding(grafana), Machine Learning engines and API.

Alstom are now looking for the Data Architect, who will be leading the design for MDP based solutions within a lean startup pathway and in collaboration of IoT experts, data scientists, software engineers and API Architects.

RESPONSIBILITIES:

Define, develop, manage & sustain the data storage and processing bricks used by the Data Platform, such as:

• Multi-tenant data collector 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

Develop IT solutions with partners (start-ups, IT companies, other industrial companies, suppliers, universities, research institutes) to package Software as a Service (SaaS) offering along with the Data/DevOps engineers.

 SKILLS & EDUCATION

• 10+ years in IT and/or digital companies or startups.
• Proven experience in designing and developing scalable solutions with data processing engine for production. (example Apache Spark, Apache NIFI, Airflow, python, scala, kafka)
• Experience working with Container technologies – Docker, Kubernetes. Knowledge of DevOps is required.
• Deep understanding of PaaS, SaaS, infrastructure automation, continuous integration/deployment, storage, and cloud-based delivery models.
• Experience in designing highly scalable distributed applications and addressing scaling, and performance problems.
• Work closely with data engineers, data analysts, and data scientists focused on delivering high-quality data and analytic applications on the cloud.
• Experience in designing relational and non-relational databases – PostgreSQL/Cassandra and eliminating performance bottlenecks.
• Experience in building and managing data stores and visualization with Elasticsearch, Kibana.
• Develop and enhance new & existing pipelines to meet ongoing business requirements while keeping performance, reliability, efficiency, and security in mind.
• Design and create reusable ELT components and frameworks that encourage best practices for developing ELT and ML data pipelines.
• Build data platform-as-a-service for internal consumers, operating on cloud-native and open-source technologies on Azure.
• Create solutions that reflect the best Data Ops approach for the delivery and operations of data pipelines.
• Experienced in converting prototype machine learning algorithms to production quality services.
• Experienced with the production of real-time streaming data applications.
• Experienced in creating prototypes and proofs of concept for iterative development.
• University background: Master degree in computer science & information systems
• Proven track record of providing leadership for a solution, offering practical solutions and recommendations to clients.
• Demonstrated teamwork and collaboration in a professional setting
• Proven capabilities with worldwide teams.
• Fluent English. French is a plus.

  Job Location : Bangalore

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

Important to note

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