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- Tasks: Design and manage AWS Data Lakes for advanced analytics and data-driven decisions.
- Company: Join Akkodis, a global leader in engineering and technology, driving digital transformation.
- Benefits: Enjoy a dynamic work environment with opportunities for continuous learning and global collaboration.
- Why this job: Make a meaningful impact on the future of technology through innovative projects.
- Qualifications: AWS certifications and proven experience in data architecture and data lakes are essential.
- Other info: Be part of a high-impact initiative transforming the public sector's workforce.
The predicted salary is between 48000 - 72000 £ per year.
Company
Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in todays rapidly evolving markets.
With a comprehensive solution portfolio across four service linesConsulting, Solutions, Talents, and AcademyAkkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, youll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.
Scope
Akkodis is launching a new technical delivery team to drive a UK national programme in collaboration with key partners, designed to transform and future-proof the central governments workforce. By leveraging cutting-edge technology, strategic partnerships, and a comprehensive SaaS-based platform, this programme will create an advanced, candidate-centric experience tailored to meet tomorrows public sector skill demands.
This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-generation digital infrastructure.
Role Overview:
We are looking for an experienced Data Architect with expertise in AWS Data Lakes to design, build, and manage data architectures that enable advanced analytics and data-driven decision-making. In this role, you will architect scalable and efficient data platforms on AWS, ensuring data availability, security, and performance. The ideal candidate will have deep experience in AWS services related to data storage, data processing, and analytics, as well as expertise in data modelling and governance for data lakes.
Key Responsibilities:
Design and implement data architectures that enable scalable, efficient, and secure data storage and processing in an AWS Data Lake.
Define data models, schemas, and governance practices that ensure data quality, consistency, and accessibility across the organisation.
Data Lake Management & Optimisation.
Architect, build, and maintain AWS Data Lakes using services such as Amazon S3, Glue, Redshift, and Athena.
Optimise data storage, data cataloguing, and data processing pipelines for performance and cost-efficiency.
Design and develop ETL processes to ingest and transform data from various structured and unstructured data sources into the Data Lake.
Implement real-time data streaming and batch processing pipelines using AWS services like Kinesis, Lambda, and Glue
Ensure data architectures adhere to security best practices, including encryption, access control, and data privacy compliance (e.g., GDPR).
Implement data governance policies and manage data access controls to ensure data security and integrity.
Enable advanced analytics and business intelligence by designing data architectures that support analytics tools, such as AWS QuickSight, Redshift, and third-party solutions.
Be able to provide High-level & Low-level designs
Monitor the performance of data pipelines, storage solutions, and analytics platforms, ensuring system reliability and minimal downtime
Continuously improve and optimise data architectures to reduce costs, enhance performance, and scale with business growth.
Work closely with data engineering teams, business stakeholders, and IT leadership to understand data requirements and translate them into technical solutions.
Provide technical leadership and mentorship to data engineers and developers.
Key Skills & Qualifications:
Current AWS certifications (e.g., AWS Certified Data Analytics)
Proven experience as a Data Architect, with a focus on AWS Data Lake and data warehousing solutions.
Expertise in AWS services related to data storage and processing, such as S3, Glue, Redshift, Athena, and Kinesis.
Strong knowledge of data modelling, data governance, and data lifecycle management.
Experience designing and optimising ETL/ELT pipelines and data integration processes.
Solid understanding of data security, compliance, and privacy best practices.
Proficiency in SQL, Python, and other data-related programming languages.
Data Architect in Stevenage employer: AKKA DEVELOPMENT UK LIMITED t/as Akkodis Group
Contact Detail:
AKKA DEVELOPMENT UK LIMITED t/as Akkodis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Stevenage
✨Tip Number 1
Familiarize yourself with AWS services, especially those related to data lakes like S3, Glue, and Redshift. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Showcase your experience with data governance and security best practices. Be prepared to discuss how you've implemented these in past projects, as this is crucial for ensuring data integrity and compliance.
✨Tip Number 3
Network with professionals in the data architecture field, particularly those who work with AWS. Engaging with industry peers can provide insights into current trends and may even lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of ETL processes you've designed or optimized. Being able to articulate your hands-on experience will set you apart from other candidates.
We think you need these skills to ace Data Architect in Stevenage
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Data Architect position at Akkodis. Highlight your relevant experience with AWS Data Lakes and data architecture in your application.
Tailor Your CV: Customize your CV to reflect the key skills and qualifications mentioned in the job description. Emphasize your experience with AWS services like S3, Glue, Redshift, and Kinesis, as well as your knowledge of data governance and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and expertise to the specific needs of Akkodis. Discuss how your previous work aligns with their goals of building scalable, data-driven solutions and your passion for innovative technology.
Showcase Your Certifications: If you have current AWS certifications, make sure to prominently display them in your application. This will demonstrate your commitment to professional development and your expertise in AWS Data Analytics.
How to prepare for a job interview at AKKA DEVELOPMENT UK LIMITED t/as Akkodis Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially those related to data lakes like S3, Glue, and Redshift. Be prepared to discuss specific projects where you implemented these technologies and the impact they had on data management.
✨Demonstrate Data Governance Knowledge
Since data governance is crucial for this role, be ready to explain your understanding of data quality, consistency, and accessibility. Share examples of how you've implemented governance practices in previous roles to ensure data integrity.
✨Prepare for Technical Questions
Expect technical questions related to data architecture, ETL processes, and data security best practices. Brush up on your knowledge of SQL, Python, and data lifecycle management to confidently answer these queries.
✨Emphasize Collaboration Skills
This role requires working closely with various teams. Highlight your experience in collaborating with data engineering teams and business stakeholders. Discuss how you translated data requirements into technical solutions in past projects.
