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Informatica Subject Matter Exptert

Job in Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Atos SE
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

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Manchester, GB London, GB City, GB Newcastle, GB

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About the Practice

The Data Analytics & AI (DAA) Practice represents a growing capability within Atos and comprises a talented team of analysts, developers, consultants, architects, and data specialists delivering solutions across the entire information management lifecycle.

We help organisations unlock greater value from their data through data engineering, integration, analytics, cloud transformation, and modern data platforms. Our technology-agnostic approach spans Microsoft, SAP, Oracle, IBM, Informatica, Talend, Cloudera, Qlik, and a range of specialist data technologies.

As organisations modernise legacy platforms and accelerate cloud adoption, we support complex transformation programmes that migrate critical data integration, analytics, and operational workloads to secure, scalable cloud environments.

Where Purpose Meets Career

Lead the modernisation of enterprise data integration platforms
, helping organisations migrate critical ETL and data processing workloads to the cloud.

Influence technical strategy and architecture decisions
, ensuring robust, scalable, and future-ready data integration solutions.

Work alongside highly experienced architects, engineers, and data specialists delivering transformational data programmes across diverse industries.

About the Role

We are seeking an experienced Informatica Subject Matter Expert (SME) to provide deep technical leadership and consultancy throughout the discovery, design, migration, and implementation phases of major data transformation programmes.

You will be responsible for ensuring Informatica workloads, mappings, integrations, and data pipelines are successfully re-platformed to modern cloud-based environments while maintaining data quality, integrity, and operational continuity.

Working closely with architects, data engineers, project teams, and business stakeholders, you will define migration strategies, assure technical delivery, validate outcomes, and support the successful adoption of new solutions.

Key Responsibilities

Provide expert guidance on Informatica architecture, mappings, integration patterns, and cloud re-platforming approaches.

Define ETL migration strategies, source-to-target mapping methodologies, and validation approaches in collaboration with delivery teams.

Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles.

Assure data pipeline integrity throughout migration, testing, validation, and dual-running activities.

Mentor and guide Informatica engineers and project teams throughout the delivery lifecycle.

Skills We Can't Do Without

Extensive experience with Informatica Power Center and/or Informatica Intelligent Cloud Services (IICS).

Strong expertise in ETL development, data integration, and source-to-target data mapping
.

Proven experience delivering data migration, validation, reconciliation, and data quality initiatives
.

Strong understanding of enterprise data architectures and integration patterns.

Excellent stakeholder engagement, mentoring, and knowledge transfer capabilities.

Skills We'd Like

Experience migrating data integration workloads to cloud platforms such as Microsoft Azure, AWS, or Google Cloud…

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