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Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformKafkaPySparkSparkSQLUnity
About the role
Key responsibilities & impact- Operate and evolve the data platform (Databricks, Unity Catalog, data lake), ensuring availability, performance and cost control
- Lead the full data lifecycle — ingestion, ETL/ELT and enablement — supporting billing and adoption pipelines with reliability and integrity
- Establish and enforce data best practices: Governance, Modeling, Quality, Security & Privacy, Lineage and Accessibility
- Define the team roadmap and prioritize requests, balancing competing needs of technical and business stakeholders
- Collaborate with stakeholders to document clear data requirements and validate products with users
- Monitor metrics and KPIs to guide decisions and drive continuous improvement of data products
- Support the incorporation of AI into the team's workflows to accelerate performance
- Lead and develop a cross-functional team of engineers, data scientists and analytics specialists — attracting, retaining and mentoring talent
- Ensure billing and adoption pipelines operate with integrity, reliability and efficiency
- Identify opportunities to scale and optimize the data operation
Requirements
What you’ll need- Previous experience as a Data/Analytics Manager, Data Engineering Lead or Tech Lead with people management
- Expertise in at least two areas: Data Engineering, Data Analytics, Data Science or AI
- Strong experience with modern data architecture (lakehouse, dimensional/medallion modeling) and the full data lifecycle
- Hands-on experience with Databricks, Unity Catalog, Delta Lake, Spark/PySpark, SQL and workflow orchestration
- Knowledge of event streaming (Kafka or similar) and cloud platforms (AWS, GCP or Azure)
- Strong communication with technical and business audiences, product mindset and focus on measurable impact
- Nice-to-haves / Preferred qualifications:
- Direct experience with CI&T Flow or AI agent ecosystems
- Experience with multi-tenant data platforms and billing/usage-based models
- Knowledge of Data Security and Privacy; familiarity with LGPD, GDPR, SOC 2 or ISO 27001
- Experience with MLOps and relevant certifications (Databricks, cloud or product)
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowances
- Childcare assistance
- Enhanced parental leave
- Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical and mental health and well-being
- Pregnancy and responsible parenting course
- Partnerships with online course platforms
- Language learning platform
- And many more
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Lifecycle ManagementETL/ELTDimensional ModelingMedallion ModelingWorkflow OrchestrationEvent StreamingCloud PlatformsMLOpsData SecurityData Privacy
Soft Skills
Strong CommunicationTeam LeadershipStakeholder CollaborationMentoring
Certifications
Databricks Certification
