Salary: 90,000 - 90,000 GBP per year Requirements:
* Current AWS certifications (e.g., AWS Certified Data Analytics).
* Proven experience as a Data Architect, focusing 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 modeling, data governance, and data lifecycle management.
* Experience designing and optimizing 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.
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 organization.
* Manage and optimize Data Lakes, architecting, building, and maintaining them using services such as Amazon S3, Glue, Redshift, and Athena.
* Optimize data storage, cataloguing, and 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.
* Provide high-level and low-level designs.
* Monitor the performance of data pipelines, storage solutions, and analytics platforms, ensuring system reliability and minimal downtime.
* Continuously improve and optimize 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.
Technologies:
* AWS
* Architect
* Big Data
* Business Intelligence
* ETL
* Support
* Python
* SQL
* Security
* Cloud
* AI
* Akka
* Robotics
More:
At Akkodis, we pride ourselves as a global leader in engineering, technology, and R&D, leveraging connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, we combine our expertise with over 50,000 engineers and digital specialists across 30 countries to help clients navigate complex challenges in evolving markets.
We are launching a new technical delivery team to drive a national program aimed at transforming the workforce of central government through cutting-edge technology and strategic partnerships. This initiative offers a unique opportunity to develop a scalable, data-driven recruitment ecosystem by redesigning and rolling out a sophisticated Big Data system. Join us to be part of a dynamic environment that values continuous learning and collaboration, where you can make a significant impact on shaping the future of technology.