**About the role** As a **Lead Data Architect (Databricks \& AI Platforms)**, you will make an impact by designing and delivering enterprise\-scale data platforms, AI\-enabled solutions, and modern data products. You will serve as the technical bridge between enterprise architecture strategy and engineering execution, ensuring scalable, governed, and business\-aligned solutions while driving measurable outcomes across large\-scale transformation initiatives. **In this role, you will** * Design and lead the implementation of enterprise data architectures, including Data Products, Data Vault models, ETL/ELT pipelines, and Databricks Lakehouse solutions. * Drive the integration of GenAI and AI\-powered engineering capabilities into modern data platforms to improve automation, productivity, and operational efficiency. * Own the technical delivery of strategic roadmap initiatives, ensuring alignment with business objectives, KPIs, and platform governance standards. * Establish best practices for data quality, lineage, governance, observability, and lifecycle management across enterprise data assets. * Lead and mentor engineering teams, providing architectural guidance, technical reviews, and support for complex technical challenges. **Work Model** **Hybrid \| São Paulo, Brazil** This role follows Cognizant's hybrid work model, requiring periodic onsite collaboration while supporting global teams and stakeholders. **What you need to have to be considered** * 10\+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Platforms. * Proven experience leading large\-scale data transformation and modernization initiatives. * Hands\-on experience implementing **Databricks Lakehouse** solutions in enterprise environments. * Strong expertise with **Databricks**, including Delta Lake, Delta Live Tables (DLT), Unity Catalog, Databricks SQL, and Mosaic AI. * Advanced experience with **PySpark**, SQL, Python, and large\-scale ETL/ELT frameworks. * Strong knowledge of Data Vault, dimensional modeling, canonical data models, and Source\-to\-Target Mapping (STTM). * Experience integrating AI/GenAI capabilities into production\-grade data platforms. * Experience designing and implementing data governance, lineage, observability, and data quality frameworks. * Experience with CI/CD, automated testing, and deployment pipelines for enterprise data solutions. * Strong stakeholder management, leadership, and communication skills. * Advanced English proficiency. * Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. **These will help you stand out** * Experience with ERP modernization or large\-scale migration programs, including SAP S/4HANA, Teradata modernization, or cloud migrations. * Experience with ICEDQ, Great Expectations, DLT Expectations, or similar data quality frameworks. * Knowledge of Data Mesh, Data Fabric, and Data Product operating models. * Experience with AI\-powered platform services, agentic AI solutions, and intelligent automation frameworks. * Familiarity with Power BI, Tableau, Qlik Sense, and modern analytics platforms. * Understanding of FinOps, cloud cost optimization, and platform governance practices. * Databricks, Azure, AWS, Google Cloud, or Enterprise Architecture certifications. * Experience leading global engineering teams and enterprise\-scale transformation programs. **Please upload your resume in English** Please upload your resume in English. Resumes will be reviewed by global stakeholders involved in the selection process. We're excited to meet people who share our mission.