Cloud Data Architect

The Tech Collective is a fastgrowing consultancy powered by Implement. We help organisations unlock the immense potential of data AI and analytics to ensure they are fit for the digital future. Through cocreation and passionate advisory we aim to make data easy to handle and provide useful insights. In our collective you will find people with a delicious combination of nerdiness and infectious energy. We are passionate about technology but we also have a genuine interest in people.

We are looking for a highly skilled and experienced cloud data architect to join our team. The ideal candidate will have a deep understanding of the modern data stack cloud architecture (preferably with a focus on Microsoft Azure but AWS or GCP is also ok) integration architecture and data modelling. This role is vital to ensuring the seamless integration management and deployment of data and analytics solutions that support our clients business needs.

Your key responsibilities will be

• Design and implement modern data architectures: lead the design and implementation of scalable robust and secure data systems using modern data stack technologies. Ensure architecture is aligned with business objectives and best practices.
• Support data platform teams: work with data platform teams to design and implement operating models that support efficient data processing integrations reporting and AI model deployment and .
• Cloud architecture expertise: develop and manage cloudbased data solutions on platforms such as Microsoft Azure GCP or AWS. Optimise cloud infrastructure for performance cost and scalability.
• Integration architecture: design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
• Data modelling: design and develop data models that support business processes analytics and reporting requirements. Ensure that data models are optimised for performance and scalability.
• Deploy analytics and AI solutions: lead the deployment of analytics and AI solutions to ensure they are integrated into existing systems and processes. Provide guidance on best practices for model deployment and monitoring.
• Stakeholder collaboration: work closely with crossfunctional teams including business stakeholders data scientists and IT to understand data requirements and deliver solutions that meet business needs.
• Mentorship and leadership: provide mentorship and guidance to junior data engineers and other team members. Foster a culture of continuous learning and improvement within the team.
• Stay current with emerging technologies: continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processes for our clients.

Our key requirements are

• Educational background: bachelors degree in Computer Science Engineering Information Technology or a related field (masters degree preferred).
• Experience: at least 5 years of experience in data engineering with a strong focus on cloud architecture data integration and data modelling.
• Technical expertise:
  • Deep understanding of the modern data stack and its components.
  • Proven experience with cloud platforms such as Microsoft Azure GCP or AWS.
  • Strong skills in data modelling ETL processes and data integration having been part of one or several data platform teams.
  • Experience in deploying analytics and AI solutions in a cloud environment.
     
• Analytical skills: exceptional problemsolving skills with the ability to design innovative solutions to complex data challenges.
• Communication skills: excellent communication and interpersonal skills with the ability to convey technical concepts to nontechnical stakeholders.
• Leadership ability: proven ability to lead projects and mentor junior team members.
• Certifications: relevant certifications in cloud technologies are a plus such as:
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Data Engineering certifications
  • Snowflake certifications
  • Databricks certifications
  • Kafka certifications

Apply now

We will conduct interviews on an ongoing basis so please apply as soon as possible.

We look forward to hearing from you!

Remote Work :

No

Employment Type :

Fulltime