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Job Description
\n\nData & AI Platform Architect (Contract)\n
Contract Length: 6 months
Working Model: Hybrid
\nOverview\n
We are looking for a highly skilled Data & AI Platform Architect with deep experience in AWS and Azure to lead the design and delivery of modern cloud‑ data, analytics and AI platforms. You will architect scalable, secure and sustainable solutions across the entire data value chain-from ingestion and engineering to analytics, MLOps and enterprise‑grade Generative AI.
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This role suits someone who combines strong architectural leadership with hands‑on delivery awareness, advising clients, shaping technical direction and guiding small teams or workstreams.
\n\nKey Responsibilities\n
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Architect and design modern AWS and Azure data, analytics and AI platforms, covering both batch and real‑time processing patterns.
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Define and embed robust data management practices across the end‑to‑end data lifecycle: governance, quality, lineage, metadata, access control and security.
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Integrate Machine Learning, Generative AI and Large Language Models into enterprise platforms, leveraging cloud services (e.g. Azure OpenAI, Amazon Bedrock, SageMaker, Azure ML).
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Engage with stakeholders to translate business needs into clear, actionable architectures and delivery roadmaps.
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Provide architectural oversight and technical leadership for small delivery teams or workstreams.
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Ensure best‑practice use of cloud- tooling, including serverless, containerisation, event‑driven design and scalable storage/compute patterns.
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Support CI/CD, DevOps and infrastructure‑as‑code practices across AWS and Azure environments (e.g. Terraform, Bicep, CloudFormation).
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Produce high‑quality architectural documentation, HLDs, solution blueprints and technical recommendations.
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Navigate the needs of public sector or regulated environments where required (desirable).
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\n\nRequired Experience & Skills\n
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\n5+ years' experience in data, analytics and AI solution architecture and delivery.
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Strong, practical architectural expertise in AWS and Azure, including services such as:\n
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\nAWS: S3, Glue, Lambda, Redshift, MSK/Kinesis, Step Functions, EMR, SageMaker, Bedrock
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\nAzure: Data Lake, Data Factory, Synapse, Databricks, Event Hub, Functions, Azure ML, Azure OpenAI
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Solid grounding in data engineering and platform‑oriented design across batch and streaming workloads.
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Strong understanding of data management, governance and lifecycle principles.
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Good working knowledge of CI/CD pipelines, DevOps toolchains and IaC.
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Ability to clearly explain Machine Learning, AI and Data Mining concepts to technical and non‑technical audiences.
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Demonstrated experience leading small implementation teams or technical workstreams.
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Excellent communication, client‑facing and stakeholder engagement skills.
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\n\nDesirable Experience\n
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Previous work in public sector or regulated industries, such as government or healthcare.
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Understanding of compliance frameworks and security requirements in regulated data environments.
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Familiarity with vector databases, RAG patterns, enterprise MLOps/LLMOps and AI platform governance.
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\n\nEngagement Details\n
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\nContract: 6 months
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\nWorking Model: Hybrid
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If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.