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- Tasks: Lead the design of data solutions and integrate them into AWS cloud.
- Company: Join a well-established broadcasting organization building a new data team.
- Benefits: Enjoy flexible working patterns and a comprehensive salary package.
- Why this job: Be part of a transformative project that maximizes consumer engagement through innovative data solutions.
- Qualifications: 5+ years of expert knowledge in AWS Cloud services and data architecture required.
- Other info: Ideal for problem solvers who thrive in dynamic environments.
The predicted salary is between 43200 - 72000 £ per year.
Data Architect required to join an established broadcasting organisation who are building out a brand-new data team and looking for someone to take full ownership over the design of data solutions and integration into AWS cloud to ensure data is being used for the purpose of maximising consumer engagement. Our client are looking for someone to architect scalable solutions that are proportional to the fast growing needs of the business, ensure data lineage, validation, observability, clean code quality, and appropriate tooling are in place. The successful candidate will have expert knowledge of AWS Cloud services for a minimum of 5 years and how to integrate them into data architecture. Required Technical Skills: Designing/architecting reliable and scalable data solutions Expert technical knowledge of AWS Cloud Services (S3, Redshift, Lambda, Glue, Kinesis, and RDS) Data modelling, ETL, and data warehousing Data storage and processing Data Build Tool (DBT) Data governance tools and policies Python or SQL This role offers flexible working patterns and a comprehensive salary and benefits package. If you are someone who thrives in dynamic environments, enjoys problem solving and innovating modern data solutions and wants to be part of a highly impactful transformation for a thriving business, apply now!
Data Architect employer: Synapri
Contact Detail:
Synapri Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and Lambda. Having hands-on experience or projects that showcase your expertise in these areas will make you stand out.
✨Tip Number 2
Highlight any previous experience you have with data architecture and scalable solutions. Be prepared to discuss how you've successfully implemented data solutions in fast-paced environments.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of challenges you've faced in data integration or governance. This will demonstrate your ability to innovate and adapt in dynamic situations.
✨Tip Number 4
Network with professionals in the broadcasting and data architecture fields. Engaging with industry peers can provide insights into the company culture and may even lead to referrals.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Architect position. Understand the key responsibilities and required skills, especially focusing on AWS Cloud services and data architecture.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with AWS Cloud services and any previous roles where you designed scalable data solutions. Use specific examples to demonstrate your expertise in data modelling, ETL, and data warehousing.
Showcase Technical Skills: Clearly list your technical skills related to the job, such as Python, SQL, and familiarity with data governance tools. Make sure to mention any relevant projects or achievements that showcase your ability to architect reliable data solutions.
Tailor Your Application: Customize your application materials to reflect the language and requirements mentioned in the job description. Use keywords from the posting to ensure your application resonates with the hiring team and demonstrates your fit for the role.
How to prepare for a job interview at Synapri
✨Showcase Your AWS Expertise
Make sure to highlight your extensive experience with AWS Cloud services. Be prepared to discuss specific projects where you've utilized S3, Redshift, Lambda, Glue, Kinesis, and RDS, and how these tools contributed to the success of your data solutions.
✨Demonstrate Your Problem-Solving Skills
Since the role involves innovating modern data solutions, come prepared with examples of challenges you've faced in previous roles and how you overcame them. This will show your ability to thrive in dynamic environments.
✨Discuss Data Governance and Quality
Be ready to talk about your approach to data governance, lineage, and validation. Explain how you ensure clean code quality and the appropriate tooling in your data architecture, as this is crucial for maximizing consumer engagement.
✨Prepare for Technical Questions
Expect technical questions related to data modeling, ETL processes, and data warehousing. Brush up on your knowledge of Data Build Tool (DBT) and be ready to discuss how you've implemented these concepts in your past work.
