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

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