Enterprise Data Architect
Responsibilities
- Define and drive enterprise-wide cloud and data architecture strategies, roadmaps, and governance frameworks aligned to business objectives.
- Design and implement scalable, secure, and resilient cloud-native solutions across Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP environments.
- Lead cloud transformation and migration initiatives including hybrid cloud and multi-cloud architectures.
- Establish and oversee enterprise data architecture frameworks such as Data Mesh, Lakehouse, and Data Fabric.
- Drive adoption of modern architecture patterns including microservices, APIs, event-driven architectures, and real-time data processing.
- Define and enforce architecture standards, security controls, compliance policies, and governance best practices.
- Collaborate with business stakeholders, product owners, engineers, and platform teams to deliver scalable and efficient technology solutions.
- Identify opportunities to modernise platforms, reduce technical debt, improve performance, and optimise cloud and operational costs.
Required Skills
- Extensive experience in Enterprise Architecture, Cloud Architecture, or Data Architecture within large-scale enterprise environments.
- Strong expertise in cloud platforms including Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP.
- Proven experience designing cloud-native, scalable, secure, and highly available enterprise solutions.
- Strong knowledge of modern data platforms and technologies including Data Lakes, Lakehouse, ETL/ELT, Kafka, and Spark.
- Expertise in microservices, APIs, event-driven architectures, integration patterns, and distributed systems design.
- Good understanding of data governance, cloud security, compliance frameworks, and enterprise risk management.
- Experience with DevOps, CI/CD pipelines, Infrastructure-as-Code, Kubernetes, Docker, and automation practices.
- Strong stakeholder management, communication, analytical, and problem-solving skills with the ability to influence technical and business decision