Role Overview
Join a cross-functional team driving the modernization of data-intensive applications within a hybrid cloud platform in the energy sector. You will design and implement decentralized, scalable data architectures on a cloud-native platform, enabling reliable, Real Time insights and supporting critical business operations.

Key Responsibilities

• Design robust, cloud-native data architectures for high-volume, data-driven applications

• Collaborate with product and platform teams to decentralize data in a microservices environment

• Lead architecture workshops and advise engineering teams on data modelling and integration

• Evaluate and implement modern data storage and processing technologies (eg, Spark, Kafka, relational and NoSQL databases)

• Support migration of Legacy data applications to cloud-native infrastructure with minimal disruption

• Design business-aligned data models supporting analytics, self-service reporting, and regulatory compliance

• Conduct Proof of Concepts (POCs) to validate architectural approaches

• Define best practices for data security, access control, quality, and governance

• Document decisions and contribute to continuous architectural improvement

Must-Have Skills

• 3+ years as a Cloud Native Data Architect

• Deep knowledge of distributed data architecture and modern data design patterns

• Experience with cloud-native data stacks (Spark, Kafka, PostgreSQL, MongoDB, TimescaleDB, etc.)

• Proficiency in at least one programming language (Python, Java, or Scala)

• Strong grasp of data modelling, quality, governance, and life cycle management

• Hands-on experience with CI/CD, data integration pipelines, and agile methodologies

• Ability to align architecture with business requirements and communicate effectively across teams

• Fluent English