Senior Data Manager

CI&T

Data Manager leading Data Core Team at CI&T, focusing on data infrastructure and AI solutions. Responsible for overseeing data products and cross-functional team leadership.

Posted 7/6/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, Data Analytics, and AI, with a strong focus on modern data architecture and the full data lifecycle. Proven ability to lead cross-functional teams, enforce data governance, and optimize data operations for performance and cost control.

Highest-signal resume keywords

Data EngineeringData AnalyticsData ScienceDatabricksSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lifecycle ManagementETL/ELTDimensional ModelingMedallion ModelingWorkflow OrchestrationEvent StreamingCloud PlatformsMLOpsData SecurityData Privacy

Soft Skills

Strong CommunicationTeam LeadershipStakeholder CollaborationMentoring

Tools & Technologies

DatabricksUnity CatalogDelta LakeSparkPySparkKafkaAWSGCPAzure

Certifications & Qualifications

Databricks Certification

Industry Keywords

Data GovernanceData QualityData LineageLGPDGDPRSOC 2ISO 27001

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle 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