Senior Data Developer

CI&T

. Build and operate pipelines feeding and draining the data platform from CRM and Data Lake to Adobe Experience Platform and back .

Posted 11/9/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data pipelines, implementing ETL/ELT processes, and ensuring data quality while adhering to LGPD regulations. Proficient in data modeling and integration within CRM and Data Lake environments, with strong capabilities in monitoring and governance.

Highest-signal resume keywords

Data EngineeringAdvanced SQLPython ProgrammingDatabricks ExperienceLGPD Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DesignData Quality TestingMetric CalculationData ModelingAutomated Monitoring

Tools & Technologies

DatabricksAdobe Experience PlatformAirflowCRM IntegrationData Lake

Certifications & Qualifications

Databricks CertificationAdobe Certification

Industry Keywords

Pharmaceutical SectorHealthcare SectorData GovernancePseudonymizationData Subject Rights

Tech Stack

Tools & technologies

AirflowETLPythonSparkSQL

About the role

Key responsibilities & impact

Build and operate pipelines feeding and draining the data platform from CRM and Data Lake to Adobe Experience Platform and back
Design and implement ETL/ELT pipelines between CRM, Data Lake, and AEP, including batch and streaming ingestion and profile, segment, and event export
Model analytical tables in the Databricks Data Lake and calculate engagement and business indicators
Implement data quality through testing, alerting, reconciliation across sources, and identity deduplication handling
Apply LGPD through data classification, pseudonymization, retention and deletion policies, audit trails, and fulfillment of data subject requests
Support the architect with XDM modeling and identity strategy from the source-data perspective
Document pipelines, data dictionaries, and lineage; maintain operational runbooks
Sustain production pipelines and investigate data incidents
Deliver monitoring, agreed update SLAs, error-rate tracking, and reproducible activation indicators reconciled with CJA

Requirements

What you’ll need

Solid experience in data engineering, with production pipelines
Advanced SQL, Python, and Databricks (Spark, Delta Lake, jobs, and workflows)
CRM and Data Lake integration via APIs, connectors, and files
Data quality: automated testing, monitoring, and reconciliation
Metric calculation and governance, including definition, versioning, and reconciliation with analytics tools
LGPD applied to personal data: minimization, pseudonymization, retention, and data subject rights
Native Portuguese
Advanced English for technical documentation
Veeva experience is a strong preference
AEP experience with ingestion and export
Databricks or Adobe certifications
Experience in the pharmaceutical or healthcare sector
Orchestration using Airflow or Databricks Workflows
Infrastructure as code
Data modeling for personalization and recommendation

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
Profit Sharing and Results Participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to physical, mental, and overall well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
Inclusion support and workplace accommodations for people with disabilities
Dedicated Health and Well-being team, inclusion specialists, and affinity groups