A Data Architect is responsible of translating business needs to data solutions (warehouse, streams, ETL,). You will also be responsible of the entire architecture of the data analytics platform.
Your Responsibilities
● Design solutions that fulfil the data insights of SmallWorld.
● Work closely with the data engineering team to provide the best technology for our data analytics.
● Make sure the data team has all the required tools and practices to deliver their solutions.
● Automation: Automate tasks and processes using scripts, APIs, and other tools to streamline operations and reduce errors.
● Collaboration and Communication: Work closely with data, development, operations, and other teams to ensure that everyone is aligned and working towards common goals and communicate effectively to ensure that all stakeholders are informed.
● Troubleshooting: Troubleshoot production issues and provide solutions for incidents related to the Data Analytics platform.
● Cloud Infrastructure Expertise: A deep understanding of cloud infrastructure technologies, particularly those related to AWS, and being able to effectively leverage these services for our Data needs.
About you
We would like to bring you to the next level in your professional career. We are looking for an experienced Data Architect that can walk our journey together to provide and evolve our Data Analytics Platform. You are a hand on person that likes to get the work done and not just design and look from a distance. As an orientation, the following points summarise the technical skills we are looking for. We know they are a lot, so we are flexible with people missing some of them and willing to learn.
● 3 years of experience on:
o Public cloud providers (AWS, Azure, Google), focused on Data Analytics.
● Have a deep knowledge of the Data services of AWS or other cloud providers.
● Have experience in setting up Data Analytics platform in the context of business insight metrics for financial or other industries.
● Have terraform knowledge and know your way around it. We do not require expert level, but you should be able to work closely with our automation team to automate Data tools that are not yet part of our platform.
● Be proficient in using GitHub as a version control system and should have a good understanding of its features and capabilities.
● Proficient in English for oral and written communication.