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Permanent

Data Architect (Machine Learning)

London
money-bag Negotiable
7224EA8E808D4C2EE9D4FCFA2ACA48C9
Posted Yesterday

We are

tech transformation

specialists, uniting human expertise with AI to create scalable tech solutions.

Artificial Intelligence is our reality.Principal Architect (Data focused on Databricks), UKWe are looking for a Senior Architect with strong Data experience to be part of our team working for EMEA clients. In this position, you will lead technically and design software solutions, working closely with teams in the UK, EU and other countries in Latin America.At least 3 years experience with Databricks data platform (setting up workspaces, delta lake, ingestion and transformation workflows, data catalogs, )Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data productsSolid experience on understanding, questioning, prioritizing and translating business problems into data solutions (BI, Analytics, deterministic and statistical models, machine learning)Solid experience with Cloud (Azure or AWS)Experience on scaling data workloads using platforms such as Hadoop and SparkExperience on collaborating with pre-sales, presenting data solutions and demonstrating technical capabilities for non technical audiencesAbility to create proof of concepts and coding complex mechanisms (preferable using Python);Lead technically the team and enable a multidisciplinary team of data scientists and data engineers to build, enhance, and maintain data products.Visit our European clients a few weeks throughout the year in order to bootstrap projects, establish and expand relationships with key technical and non technical stakeholdersWork on a variety of projects, for different clients, in different subject matter domains.Participate in design and architecture discussions.Collaborate with strategy, customer experience, product and non-technical program management teams.Ensure that solutions are following security and performance best practices.We expect candidates to have knowledge in some, but not necessarily all fields below:Knowledge of non-functional requirements (performance, security, privacy, GDPR, etc.)Knowledge of unit, integration and E2E testing#Collaboration is our superpower, diversity unites us, and excellence is our standard.

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