Data Architect

Thales is a global technology leader trusted by governments institutions and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space cybersecurity and digital identity were driven by a mission to build a future we can all trust.

Whom We Are Looking For

Were looking for a seasoned Data Architect to lead the design adaptation and implementation of a Data Warehouse platform that serves as a central data repository for downstream processing to support the regulatory requirements drive advanced this role youll architect scalable unified data solutions that seamlessly combine the strengths of data lakes and warehousesenabling advanced analytics AI/ML applications and secure governed access to enterprise data. Join us to shape the foundation for next-generation data-driven innovation!

Responsibilities:

• Owner of the Architecture of the Data Warehouse; ensures that systems architecture blueprints (e.g. architecture diagrams tooling technologies) remain current.
• Define data modeling standards for raw curated and serving layers.
• Develop strategies for data ingestion data storage data cataloging data governance and secured data access (e.g. data-at-rest- data-in-transit).
• Develop strategies for data backups and data recovery based on SLA/RPO;
• Develop strategies for data consistency data security (i.e. data-at-rest data-at-transit) and data redundancy.
• Lead the design and implementation of ingestion pipelines for structured and unstructured data ensure that they meet the functional and non-functional requirements.
• Lead the design of storage layers metadata management and data cataloging to ensure that they meet the functional and non-functional requirements.
• Define ELT/ELT workflows and support automation with orchestration tools (e.g. Apache Spark Apache Flink)
• Oversee deployment pipelines using CI/CD best practices for data-oriented infrastructure.
• Ensure high availability scalability and performance of the technical implementation (e.g. RMA analysis).
• Implement robust data security frameworks (i.e. encryption data masking and fine-grained access controls)
• Establish IAM policies and secure data perimeters using cloud-native and host-based tools.
• Define and enforce data governance policies: data lineage data quality and regulatory compliance.
• Collaborate with InfoSec and Compliance teams to run regular security audits risk assessments and data assessments.

• Work in an agile cross-functional multinational team actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Masters degree in Computer Science or Data Science if applicable

Essential Skills/Experience

• Strong experience in designing building highly available data platforms using MinIO as the data storage infrastructure Data Replication / Partition strategies.
• Strong expertise in SQL data modeling (SCD Type 12 6) ETL/ELT design and query performance tuning.
• Strong expertise in containerization and orchestration (i.e. Docker Kaniko Kubernetes)
• Strong expertise in design & development of ETL & ELT data pipelines (with structured or unstructured data) Change Data Capture.
• Strong expertise in distributed data processing technologies (Apache Spark 3.0 Apache Flink 2.0 Apache Iceberg Trino Apache Kafka)
• Hands-on experience with scalable data storage platforms (e.g. Azure Data Lake Storage MinIO S3).
• (Past / Present) Proficiency in implementing ETL/ELT that stores and retrieves data from object-based data stores (e.g. MinIO) and relational data stores (e.g. PostgreSQL)
• Deep understanding of data security encryption IAM and compliance standards.
• Proficiency with integrating OTEL (OpenTelemetry) into Data Infrastructures
• Proficiency in programming languages in Java 8 (e.g. Java 23.x) Kotlin 2.x
• Proficiency with Continuous Integration in using Git-based protocols (e.g. Gitlab Gitea).
• Proficiency with distributed source code management tools using Git-based protocols (e.g. Gitlab Gitea).
• Proficiency with using the Linux command line commands (e.g. Linux filesystem Linux processes).
• Good communication skills in English

Desirable Skills/Experience

If you have the following desirable skills and relevant experiences it would be an added advantage!

• Hands-on experience with cloud-native big data platforms (e.g. Azure Data Factory Databricks).
• Working experiences with Python2/3 Scala2/3.
• Working experiences with working with Event-Driven Architectures.
• Familiar with cloud-native deployment strategies to cloud service providers (e.g. Azure Cloud Amazon Cloud Google Cloud).
• Familiar with the main cloud service models: Software as a Service Platform as a Service and Infrastructure as a Service.

Essential / Desirable Traits

• Possess learning agility flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

At Thales were committed to fostering a workplace where respect trust collaboration and passion drive everything we do. Here youll feel empowered to bring your best self thrive in a supportive culture and love the work you do. Join us and be part of a team reimagining technology to create solutions that truly make a difference for a safer greener and more inclusive world.