Senior Data Architect

Do you dare to lead the digital transformation to create a more sustainable world? ð3At SchneiderElectric, we are the leading digital partner in sustainability and efficiency for businesses, communities, and individuals. Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Our goal is for all people to be able to make the most of our energy and resources through the integration of processes, software, Big Data, and energy technologies that enable integrated management of buildings, industries, and cities. Secure Power is accelerating the transition from its legacy analytics and data ecosystem, built on SQL, Alteryx, and internally managed transformation layers, to Intel DS Next (IDS Next), Schneider Electric's next-generation enterprise data platform and strategic cloud data lake. The objective is to progressively migrate existing curated datasets, transformation processes, and analytical assets from the current environment into this new enterprise data lake while maintaining continuity for reporting and analytics solutions. This role will play a key part in helping Secure Power adopt IDS Next, modernize its data architecture, and define how future business-ready datasets will be built and managed within the new platform. Main Missions The successful candidate will support the migration of Secure Power's existing data assets and transformation logic into Intel DS Next, Schneider Electric's enterprise data lake and analytics platform. This includes assessing current SQL and Alteryx-based workflows, rebuilding and optimizing data transformations, designing scalable data pipelines, validating data quality, and supporting the transition of critical analytical datasets into the IDS Next environment. The role will work closely with business stakeholders, data engineers, and platform teams to understand requirements, leverage existing enterprise datasets when appropriate, reduce duplicate engineering effort, and deliver trusted data assets that support business decision-making. The ideal candidate will have: Background: Degree in Business Information Systems, Business Analytics or related area of study 3 to 5 Years experience using SQL, Alteryx, Tableau or similar tools Technical

Skills:
Strong SQL expertise – Able to develop, optimize, troubleshoot, and maintain complex data transformations and data pipelines. Experience with Alteryx or similar ETL tools – Comfortable building and maintaining repeatable data preparation and transformation workflows. Data engineering fundamentals – Strong understanding of data modeling, relational databases, data integration, testing, monitoring, and data quality practices. Analytics experience – Able to understand business requirements and translate them into scalable technical solutions that support reporting and decision-making. Cloud and AWS exposure – Knowledge of AWS services, cloud-native data solutions, or enterprise cloud data lakes would be a strong advantage. Curiosity – Goes beyond requirements to understand the business challenge behind the data. Problem solving – Investigates root causes and proposes practical, data-driven improvements. Attention to quality – Maintains high standards for data accuracy, reliability, and trust. With our Holy Pack, you can purchase additional vacation days to recharge when you need it most.
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we offer
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We offer
you a Flexible Remuneration Plan in which you can choose from a variety of options, such as health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more.
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Our flexible work models ensure a balance between family and work life, fostering personal growth, performance, and c