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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering initiatives, establishing data governance frameworks, and ensuring compliance with regulatory requirements. Proficient in designing and operating data platforms, with a focus on data quality, security, and the delivery of reliable data products.
Highest-signal resume keywords
Data Platform EngineeringData GovernanceData Quality MonitoringPeople LeadershipFluency in Portuguese and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionData TransformationData StorageData ProcessingData OrchestrationSQLData ModelingData LineageData SecurityData Privacy
Soft Skills
Priority ManagementCollaborationDelivery Planning
Tools & Technologies
GCPData WarehouseLakehouseStreaming TechnologiesDataOpsMLOps
Industry Keywords
Financial MarketsRegulatory ComplianceCritical InfrastructureAudit TrailsRisk Management
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Define the strategy, architecture, and roadmap for N5X’s data and AI platform, aligning technical capabilities with business priorities and regulatory requirements.
- Lead data platform engineering, including ingestion, transformation, storage, processing, orchestration, observability, and secure data delivery.
- Establish and operationalize data governance, including roles and responsibilities, cataloging, classification, lineage, quality, access, retention, and usage policies.
- Develop reliable, reusable data products with identified consumers, contracts, documentation, quality metrics, and service levels.
- Ensure the production of information for regulators and audits, ensuring consistency, reconciliation, traceability, controls, evidence, and compliance with applicable deadlines.
- Work with Business, Risk, Compliance, Legal, and Operations teams to translate regulatory obligations and operational needs into clear, verifiable data requirements.
- Define metrics and processes to monitor the quality, completeness, timeliness, availability, and reliability of data and pipelines, driving the correction of deviations.
- Establish security and privacy standards, including access controls, environment segregation, protection of sensitive information, and audit trails.
- Evaluate AI and analytics opportunities, prioritizing use cases with clear value, suitable data, risk controls, and validation and monitoring criteria.
- Lead the team, manage capacity and vendors, prioritize the backlog, and ensure sustainable engineering practices, automation, testing, and continuous platform evolution.
Requirements
What you’ll need- Demonstrated experience leading data engineering teams or initiatives, data platforms, or data products in corporate environments.
- Experience designing and operating data platforms, including data ingestion, transformation, storage, processing, orchestration, and delivery.
- Practical knowledge of data modeling, SQL, batch and/or streaming pipelines, data quality, lineage, and monitoring.
- Experience with data governance, including defining ownership, cataloging, classification, access controls, usage policies, retention, and traceability.
- Experience designing and delivering data products for internal consumers, with defined requirements, service levels, documentation, and lifecycle management.
- Ability to structure data and reporting processes with consistency, auditability, reconciliation, and controls for information intended for regulators.
- Knowledge of data security and privacy, access management, and controls for environments containing sensitive information.
- Experience in people leadership, priority management, delivery planning, and collaboration with Business, Technology, Risk, Compliance, and Operations teams.
- Fluency in Portuguese and English.
- Preferred: Experience with cloud-based data and analytics services, preferably GCP, and lakehouse, data warehouse, or streaming technologies.
- Preferred: Experience with AI/ML initiatives, including data preparation and governance for models, quality assessment, and lifecycle monitoring.
- Preferred: Experience in financial markets, exchanges, clearing, registries, energy, or other regulated and critical-infrastructure environments.
- Preferred: Knowledge of DataOps/MLOps practices, pipeline observability, automated testing, and CI/CD for data and models.
Benefits
Comp & perks- Bonus: Up to two monthly salaries per year
- Work model: Hybrid — 3 days per week working in the office
- Meal Voucher: BRL 43.68 per business day
- Food Allowance: BRL 832.00 per month
- Transportation Voucher or Mobility Allowance: Round-trip transportation for in-office days, with no payroll deduction
- Health Insurance: SulAmérica plan with copay for the employee and eligible dependents — children and spouse
- Wellhub in partnership with SulAmérica
- Life Insurance: MetLife
- Childcare Allowance: Reimbursement of up to 40% of the standard salary for children up to 24 months old and 35% for children between 24 and 71 months old
- Financial Assistance for Employees with Children with Disabilities: Amount equivalent to 50% of the standard salary
- Birthday Day Off!