Data & AI Manager – Master
CI&T
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Tech Stack
About the role
- Lead and develop the team, promoting engineering best practices and a Data-as-a-Product culture (domain ownership, SLOs/SLIs).
- Design and implement complex data pipelines (batch and streaming), with automation, orchestration, and ETL/ELT optimization.
- Develop transformations in Python/PySpark and SQL, with automated tests (PyTest) and engineering standards.
- Ensure end-to-end Data Quality: tests-as-code, dataset SLOs/SLIs, proactive alerting, and remediation automation.
- Design the platform blueprint: metadata-first, lineage, policy-as-code, data catalog/discovery, semantic layer, and observability.
- Incorporate GenAI into workflows: copilots for catalog and documentation, sensitive data classification (PII), assisted generation of policies and tests, and change intelligence (impact summaries).
- Collaborate with multidisciplinary teams (data, product, security, compliance, business), translating business requirements into scalable, measurable technical solutions.
- Drive architectural decisions (Lakehouse, Delta/Parquet, real-time with Pub/Sub/Kafka, microservices) with a focus on scalability, cost, and security.
- Operate always-on compliance mechanisms (LGPD/PII): classification, masking, contextual access control, and end-to-end traceability.
- Integrate the platform with the corporate ecosystem (APIs, events, legacy systems/SaaS), ensuring performance and reliability.
- Deploy versioning, CI/CD, and IaC (Git/Azure DevOps) for reproducibility and reduced time-to-data.
- Interact with senior management, present roadmaps, risks and results; define and track OKRs/metrics (adoption, lead time, incidents, residual risk).
- Evangelize and manage change to increase adoption and business value.
Requirements
- Strong experience building data pipelines with Python, PyTest, PySpark, and SQL.
- Solid experience in Google Cloud Platform (BigQuery, Dataproc, Dataflow, Pub/Sub, Composer/Airflow, IAM).
- Strong experience with orchestration tools (Airflow/Composer, Dagster, Prefect).
- Experience with Databricks on complex pipelines (Delta Lake, Jobs/Workflows, Unity Catalog).
- Experience with relational and non-relational databases, including schema design and query optimization.
- Experience in microservices architecture and enterprise integrations (REST/GraphQL, event-driven).
- Proficiency with Git/Azure DevOps for versioning, CI/CD, and collaboration.
- Hands-on experience in operational Data Governance: metadata, lineage, data catalog/discovery, data quality, security & access.
- Experience leading technical teams and engaging with executives, with strong communication and influencing skills.
- Solid understanding of security, privacy and compliance (LGPD) applied to data.
- Ability to make architectural decisions focused on cost/efficiency (FinOps), scalability, and reliability.
Benefits
- Health and dental insurance;
- Food and meal vouchers;
- Childcare assistance;
- Extended 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 promoting physical, mental health and well-being;
- Prenatal and responsible parenthood course;
- Partnerships with online course platforms;
- Language learning platform;
- And many more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPySparkSQLETLELTData GovernanceData QualityMicroservicesData PipelinesArchitectural Decisions
Soft skills
LeadershipCommunicationCollaborationInfluencingChange ManagementProblem SolvingTechnical Team ManagementStakeholder EngagementOKR TrackingRisk Management