AWS Data Architect
About the Job
We have an excellent opportunity for an experienced AWS Data Architect to join our AWS services team and play a key role in supporting our continued growth plans. These plans aim to solidify our position as a leading global Services partner with AWS. Our Technical Consultants provide post-sales technical consultancy, undertake delivery and implementation engagements, as well as providing pre-sales qualification and design to consultancy engagements.
What you can expect to be doing as an AWS Data Architect:
- Technically manage the assessment, design, and implementation of solutions
- Undertake individual consultancy assignments or work on a project as part of a larger team analysing customer requirements, gathering and analysing data and recommending solutions.
- Design and implement scalable, secure, and high-performance data architectures on AWS.
- Prepare and deliver technical presentations and demonstrations to potential clients.
- Develop proof of concepts (POCs) to showcase the capabilities of proposed solutions.
- Develop data models, ETL processes, and data integration solutions.
- Lead the implementation of data engineering projects, from requirements gathering to deployment.
- Support the development of the regional AWS services propositions, solutions and GTM.
- Highlight technical risks so that any Ingram Micro exposure to commercial loss can be minimised.
- Collaborate with cross-functional teams to ensure successful project delivery.
- Develop and maintain documentation for data architectures, processes, and standards.
In order to set you up for success, we are looking for the following skills and experience:
- AWS speciality certification
- Highly experienced in data engineering or data architecture.
- An excellent understanding and experience of delivering AWS centric solutions, specifically focused on Data.
- Proven experience with AWS services such as Redshift, Glue, S3, Lambda, RDS, and EMR.
- Strong experience with data modelling, ETL processes, and data integration tools.
- Proficiency in SQL, Python, and other programming languages commonly used in data engineering.
- Experience with big data technologies like Hadoop, Spark, and Kafka.
- Strong analytical and problem-solving skills.
Make an application to join the team!
None of this is achievable without great people, with a complete customer focus.
Our team is as much about our people as it is our customers and business partners. We want associates with a strong desire to succeed. We offer an excellent base, commission, market leading incentives programme and clear career development. You will receive full training on the products you will be specialising in, and you will have access to a world leading catalogue of technology-based learning