At a Glance
- Tasks: Lead innovative data architecture projects and drive AI solutions for diverse industries.
- Company: Accenture, a global leader in professional services with a focus on innovation.
- Benefits: Competitive salary, 30 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Join a vibrant team with access to global experts and excellent career growth opportunities.
- Why this job: Make a real impact by harnessing cutting-edge technology to solve complex business challenges.
- Qualifications: Significant experience in Data Architecture and strong knowledge of Microsoft Azure technologies.
The predicted salary is between 72000 - 88000 £ per year.
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. 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.
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.
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.
As a Data Engineering Senior Manager, you will:
- 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.
- Engage with CIO, CTO, CDO and senior technology stakeholders to shape data strategy and solutions.
- Build strong relationships with clients and Microsoft technology partners.
- 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.
We are looking for significant experience in:
- 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/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 consulting, systems integration or large enterprise environments is desirable.
- Complex programme planning and delivery in the data and AI domains.
Set yourself apart:
- Proven ability to deliver enterprise-scale data and AI services that impact end-user experiences and business outcomes.
- AWS Certified Solutions Architect - Professional.
- Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade data and AI solutions.
What’s in it for you:
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
Data Architect - Senior Manager - Consulting in London employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Senior Manager - Consulting in London
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We think you need these skills to ace Data Architect - Senior Manager - Consulting in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Accenture, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accenture. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Accenture
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Accenture!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
