Derevo

Lead the Product Discovery process to design data-driven products and define the initial backlog including epics and user stories. Collaborate with multidisciplinary teams and clients to translate complex data challenges into high-value product visions.

Transform data into strategic information by designing and implementing Business Intelligence solutions, including dashboards and data models. Collaborate with multidisciplinary teams to analyze business requirements and deliver actionable insights for decision-making.

Design, implement, and optimize modern data architectures using Big Data technologies, specifically focusing on data lakes and lakehouses. You will be responsible for collecting, cleaning, and orchestrating large volumes of structured and semi-structured data to drive business decision-making.

You will lead the full DevOps lifecycle for Azure projects, designing and implementing CI/CD pipelines and infrastructure as code. You will also act as a technical reference, collaborating with data engineers to ensure scalable, secure, and automated data platform deployments.

The role involves creating value propositions based on Customer Centric Selling methodology, developing Azure proposals and solutions, conducting sales presentations and demos, and identifying business cases. Responsibilities also include growing the installed customer base and new clients, utilizing negotiation skills, and CRM tracking.

You will be a key member of the Data Integration team, creating and implementing modern data architectures on Google Cloud Platform. Your mission includes designing, maintaining, and optimizing data processing systems while ensuring high standards of quality and scalability.