Data Governance and Architecture Manager

Sabesp

. Design, implement, and continuously evolve the corporate data governance framework, including policies, forums, decision rights, roles, and escalation mechanisms .

Posted 10/14/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance and architecture, with a focus on implementing federated governance models, data quality programs, and enterprise data architecture. Proficient in managing multidisciplinary teams and engaging with stakeholders across security, privacy, and compliance domains.

Highest-signal resume keywords

Data GovernanceEnterprise Data ArchitectureData Quality ManagementMetadata ManagementDAMA-DMBOK Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CatalogingMaster Data ManagementData LineageData ObservabilityData IntegrationData ModelingData ContractsData MeshData FabricData FinOps

Soft Skills

Executive InfluenceNegotiationConflict ResolutionSystems Thinking

Tools & Technologies

DatabricksInformaticaAPIsCloud EnvironmentsHybrid Cloud Environments

Certifications & Qualifications

DAMA/CDMPTOGAF

Industry Keywords

Regulated EnvironmentsUtilitiesInfrastructureEssential Services

Tech Stack

Tools & technologies

CloudInformaticaUnity

About the role

Key responsibilities & impact

Design, implement, and continuously evolve the corporate data governance framework, including policies, forums, decision rights, roles, and escalation mechanisms
Implement the federated model for Data Owners, Data Stewards, and custodians, establishing responsibilities, governance routines, training, and effectiveness metrics
Define the enterprise data architecture and its principles, standards, and roadmaps, connecting transactional systems, integration platforms, lakehouse, analytics, BI, AI, and operational consumption
Establish metadata management, data cataloging, business glossary, classification, lineage, observability, and data discovery
Lead the data quality program, prioritizing Critical Data Elements, rules, controls, root causes, remediation plans, and quality SLAs
Structure domain and data product governance, including data contracts, interoperability standards, and publication and consumption criteria
Define guidelines for master and reference data, supporting MDM decisions, golden records, and harmonization across enterprise platforms
Work with Security, Privacy, Legal, Risk, and Compliance teams on the application of LGPD, classification, retention, access, segregation, and ethical data use
Integrate data architecture into major enterprise programs from the outset, preventing new silos and reducing technical debt
Manage internal teams and partners, budget, capacity, vendors, KPIs, risks, and the discipline roadmap

Requirements

What you’ll need

Extensive experience in data governance and architecture within large organizations, regulated environments, or complex operations
Proven track record implementing federated governance models, data catalogs, data quality, metadata, or enterprise architecture
Experience engaging with business executives, enterprise architecture, data engineering, security, privacy, and major transformation programs
Bachelor’s degree in Technology, Engineering, Computer Science, Information Systems, Statistics, Business Administration, or a related field
Professional English proficiency for interaction with vendors, communities, and technical documentation
Knowledge of DAMA-DMBOK, data governance operating models, data ownership/stewardship, and data literacy
Knowledge of lakehouse, data mesh, data fabric, streaming, APIs, integration, and cloud/hybrid cloud environments
Knowledge of cataloging, metadata, lineage, data observability, data quality, MDM, and reference data
Knowledge of conceptual, logical, and physical modeling; domain-driven architecture; data contracts; and data products
Knowledge of LGPD, security, classification, retention, access control, and privacy by design
Experience with Databricks-based architectures, including lakehouse, Unity Catalog, governance, lineage, security, sharing, data products, and integration with analytics and AI
Experience with Informatica or equivalent platforms for integration, data quality, cataloging, metadata, lineage, Master Data Management, and reference data
Ability to define integrated architecture across Databricks, Informatica, transactional systems, enterprise platforms, BI, AI, and other components
Systems thinking and the ability to translate strategy into an executable operating model
Executive influence, negotiation, and the ability to resolve ownership and prioritization conflicts
Experience managing multidisciplinary talent and strategic partners
DAMA/CDMP, TOGAF, cloud, or data architecture certifications are valued differentiators
Experience in utilities, infrastructure, essential services, or highly regulated sectors is a plus
Experience with data FinOps and measuring the economic value of data assets is a plus

Benefits

Comp & perks

Transportation allowance
Meal and food allowances
Christmas food basket
Profit-Sharing Program (PPR)
Private pension plan
Health insurance
Wellhub
Childcare assistance
Extended maternity and paternity leave