Data Architect – Data Specialist

SysMap Solutions

. Define end-to-end data architecture, including integration, storage, processing, and consumption.

Posted 9/29/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end data architecture, including data ingestion, transformation, and governance, while effectively translating business requirements into technical solutions. Proficient in utilizing cloud platforms and Business Intelligence tools to optimize data infrastructure and analytics.

Highest-signal resume keywords

Data ArchitectureETL/ELT PipelinesSQLSnowflake Data LakeData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData QualityData IntegrationBusiness IntelligencePythonCloud PlatformsData LakesData WarehousesAPIsData Lifecycle Management

Soft Skills

CommunicationDocumentationRisk ManagementCollaborationProblem Solving

Tools & Technologies

Power BIModern Data StackSnowflakeETL ToolsData Hubs

Certifications & Qualifications

AWS CertificationAzure CertificationGCP CertificationSnowflake Certification

Industry Keywords

Data GovernanceData SecurityPrivacy (LGPD)Operational DataLogistics

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Define end-to-end data architecture, including integration, storage, processing, and consumption.
Establish standards for conceptual, logical, and relational/dimensional modeling, data quality, metadata, lineage, and lifecycle management.
Design, optimize, and implement solutions for data ingestion, transformation (ETL/ELT), sharing, and exposure through APIs, Data Lakes, Data Warehouses, and Data Hubs.
Guide platform and Modern Data Stack tool decisions, including the Snowflake environment and reusable components.
Ensure requirements for security, privacy (LGPD), retention, segregation, and governance of the environment.
Gather business requirements and support and develop use cases for analytics, BI, interactive dashboards, and operational intelligence.
Map risks, dependencies, costs, capacity, and ongoing support requirements for the data platform.
Promote documentation, technical training, monitoring of market trends, and the evolution of the data ecosystem.
Prioritize, document, and communicate results and deliverables transparently.
Identify risks, dependencies, and deviations, with action plans and timely escalation.
Maintain processes, decisions, models, and supporting evidence in an auditable, efficient, and easily accessible manner.
Continuously support and optimize the company’s reports, dashboards, and data infrastructure.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Systems Analysis and Development, Software Engineering, or a related field.
Extensive experience in scalable data architecture, engineering, development, and modeling.
Advanced knowledge of SQL and Business Intelligence tools (Power BI or similar).
Knowledge of cloud platforms, storage architecture (Data Lake/Lakehouse/Warehouse), ETL/ELT pipelines, and API-based integration.
Knowledge of data governance, quality, security, and privacy.
Practical knowledge of Python, the Modern Data Stack ecosystem, and Snowflake Data Lake.
Ability to act as a liaison between technology and business, translating organizational requirements into technical solutions.
Official data or cloud certifications (AWS, Azure, GCP, Snowflake) are a plus.
Experience with operational data in logistics, inventory, assets, or mobility is a plus.

Benefits

Comp & perks

The company operates in an ethical, collaborative, and diverse environment
Continuous learning
Commitment to excellence
Opportunities for growth alongside the team
Position also open to candidates with disabilities