Data Architect; Senior Manager

Role:
Data Senior Architect
- Senior Manager
Location:
London
Salary:
Competitive salary and package dependent on experience
Career Level: Senior Manager (CL6)

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world.

You’ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level.

You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

Your background will involve contributing across projects including data engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation.

Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services.

• Help clients harness data and AI technologies to solve business challenges, through the delivery of complex data programmes
• Help clients design, develop, deploy, and run high quality data engineering and AI solutions across a range of industries with varying business and organisational challenges
• Work with latest technology solutions from industry and academia and learn how to apply them to solve real world customer problems

• Help manage our wider Data Engineering practice and capability
• Oversee the development of use-case and platform technology solutions to tackle critical business challenges, using both 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 multi-disciplinary teams to deliver complex solutions from inception to production and operationalisation, ensuring alignment with client needs and technical excellence.
• Provide strategic and technical leadership, shaping technology roadmaps, mentoring other developers, and fostering team growth. While ensuring the correct data architecture and patterns are used to solve the required problem.
• Play a pivotal role in the Accenture Data & AI community, driving thought leadership by sharing insights and experiences from cutting-edge client projects and research initiatives.