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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
