Data Solutions Engineer

Cadmus Soluções em TI

Engenheiro de Soluções de Dados leading data architecture design at Cadmus. Transforming complex business requirements into cutting-edge technological solutions.

Posted 6/4/2026full-timeSao Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureNoSQLPySparkPythonSparkSQLSSISUnity

About the role

Key responsibilities & impact

Lead the design and conception of mission-critical data architectures.
Translate complex business requirements into cutting-edge technological solutions.
Lead the technical definition of projects.
Estimate cloud infrastructure effort and costs.
Ensure adoption of new data technologies delivers maximum efficiency, scalability and satisfaction to internal stakeholders.

Requirements

What you’ll need

Databricks and Azure ecosystem: Experience in Big Data architecture using Databricks (Lakehouse, Unity Catalog) and the Azure stack (Data Factory, Synapse Analytics and Microsoft Fabric).
Engineering and Distributed Processing: Experience with Python, SQL and PySpark, with an understanding of Spark distributed architecture.
Architecture and Estimation: Proficiency in designing scalable data architectures and estimating development effort and cloud costs (Azure calculator); able to design infrastructure cost models and optimize workloads.
Traditional BI Background (Microsoft Stack): Solid experience with SQL Server, SSIS and SSAS to understand legacy systems and ensure safe integrations or migrations to the cloud.
Data Visualization: Knowledge of data architecture and modeling to design integrated data visualizations and consolidated data solutions.
Data Modeling and Databases: Fluency operating between relational and non-relational (NoSQL) environments, ensuring the appropriate model for each use case.
Agile Methodologies: Familiarity with Agile ceremonies (Scrum or Kanban), including metrics, backlog refinement and crafting user-story narratives and tasks related to your activities.
Experience integrating and extracting data from the SAP ecosystem (BW, BODS, BDC or DataSphere) into cloud Data Lake/Data Warehouse environments.

Benefits

Comp & perks

Meal voucher and/or food allowance (iFood Benefits)
Health insurance (Amil)
Life insurance
Dental insurance (Amil)
Fuel allowance
Gympass/Wellhub: Access to gyms offering a variety of training modalities.
Pet health plan
Childcare assistance
Lincard: Partnership club with discounts of up to 60% at over 4,000 establishments in Brazil.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DatabricksAzurePythonSQLPySparkSQL ServerSSISSSASdata visualizationdata modeling

Soft Skills

leadershipcommunicationtechnical definitionestimationstakeholder satisfactiondesigntranslation of business requirementsoptimizationagile methodologiescollaboration