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Job Summary: A professional to design, lead, and implement modern and scalable data architectures focused on Azure and Databricks, advancing analytical solutions and data governance strategies. Key Highlights: 1. Lead the development of modern and scalable data architectures 2. Innovate and propose resilient solutions in data engineering 3. Serve as a technical reference in strategic data projects Responsible for designing, leading, and implementing modern and scalable data architectures focused on Azure and Databricks. Will drive the evolution of analytical solutions, data pipelines, and data governance strategies, collaborating with technical and business teams. We seek a consultative professional with strong technical expertise and strategic vision to transform data into value. If you are passionate about data and want to lead the construction of modern and scalable architectures, this is your opportunity. We are looking for a professional with solid experience in Azure Data Services, Databricks, and advanced data engineering practices. Here, you will have room to innovate, propose resilient solutions, and serve as a technical reference in strategic data projects, collaborating across departments and driving digital transformation. **Responsibilities** * Design and evolve data architectures based on Azure and Databricks * Lead the technical design of analytical solutions and data pipelines * Establish architecture standards and data engineering best practices * Collaborate with business and technology teams in defining data strategies * Support implementation of frameworks such as Data Mesh and Lakehouse **Learn more about some of our benefits:** * Meal or food allowance * Multibenefit Card up to Senior Consultant level * Health and dental insurance * Certifications and training * Life insurance * Private pension * Avababy: pregnancy support and welcome kit for new Avanade parents * Company profit-sharing program * Wellhub * Childcare assistance * Career Advisor – Career mentoring * Birthday Off policy for your birthday and for children up to age 12 * Well-being sessions * For managerial or higher-level roles – Corporate vehicle, parking, and fuel allowance. **Skills and Experience:** * Experience with Azure Data Stack: Fabric, Power BI, Data Lake, Synapse, Data Factory, SQL Database, and Purview * Proficiency in Apache Spark on Databricks (PySpark, Spark SQL) * Creation and monitoring of pipelines in Databricks notebooks * Integration with Delta Lake and Unity Catalog * Knowledge of MLflow and MLOps (desirable) * Experience with Event Hub or Kafka (preferred) * Proficiency in Python and SQL * Knowledge of Git and Terraform (desirable) * Hands-on experience in data modeling (dimensional, relational, data vault) * Understanding of modern architectures (Data Mesh, Lakehouse) * Ability to design resilient and high-performance solutions * Experience with data observability and monitoring * Consultative mindset, strong communication skills, and technical leadership * Proactivity in identifying opportunities for innovation and automation.
