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Accenture

Advises businesses and runs their technology

Data Architect Senior Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience in data architecture, data engineering, or technology architecture.
  • Strong enterprise experience with Microsoft Azure Data and Analytics.
  • Hands-on architectural experience with Microsoft Fabric and/or Azure Databricks or Azure Synapse.
  • Strong knowledge of data modelling, data lakes, lakehouses, data warehouses, and data integration.
  • Experience with data governance, security, privacy, and Microsoft Purview.
  • Understanding of AI/ML and Generative AI data architectures.
  • Proven experience leading technical teams and large-scale transformation programmes.
  • Experience in complex programme planning and delivery in the data and AI domains.
  • Strong client-facing, communication, and stakeholder-management skills.

Responsibilities

  • Help manage the wider Data Engineering practice and capability.
  • Oversee development of use-case and platform technology solutions to tackle critical business challenges, using reference and emerging technologies, engineering patterns, and AI services.
  • Define enterprise data strategies, target architectures, and transformation roadmaps.
  • Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake, and Power BI.
  • Design scalable data lake, lakehouse, data warehouse, and data integration solutions.
  • Establish data governance, security, quality, metadata, and lineage using Microsoft Purview.
  • Provide architecture leadership for Data & AI, analytics, and Generative AI initiatives.
  • Lead architecture reviews, technology selection, and technical assurance across major programmes.
  • Engage with CIO, CTO, CDO, and senior technology stakeholders to shape data strategy and solutions.
  • Support solution shaping, proposals, estimates, and business development activities.
  • Build strong relationships with clients and Microsoft technology partners.
  • Lead multidisciplinary teams to deliver complex solutions from inception to production and operationalisation, ensuring alignment with client needs and technical excellence.
  • Provide strategic and technical leadership, shape technology roadmaps, mentor other developers, foster team growth, and ensure appropriate data architecture and patterns are used.
  • Contribute to the Accenture Data & AI community by sharing insights and experiences from client projects and research initiatives.
  • Help clients harness data and AI technologies to solve business challenges through complex data programmes.
  • Help clients design, develop, deploy, and run high-quality data engineering and AI solutions across industries.
  • Work with current technology solutions from industry and academia and apply them to real-world customer problems.

Desired Qualifications

  • Experience in consulting, systems integration, or large enterprise environments.
  • Certified cloud credentials, such as AWS Certified Solutions Architect – Professional.
  • Experience leading teams and influencing cross-functional stakeholders to deliver production-grade data and AI solutions.
  • Proven ability to deliver enterprise-scale data and AI services that impact end-user experiences and business outcomes.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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