Senior Data Engineer, AI Data Platform

Applaudo

Senior Data Engineer designing scalable data architectures for AI-driven products at Applaudo. Collaborating to optimize data pipelines and improve engineering practices in a supportive team atmosphere.

Posted 7/21/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data architectures and models, with a strong focus on ETL processes and cloud-based data solutions. Proficient in leveraging tools like Snowflake, dbt, and Dagster to optimize data workflows and support AI applications.

Highest-signal resume keywords

Data Architecture DesignETL Pipeline DevelopmentSnowflake Data WarehouseMedallion Architecture ImplementationAWS S3 Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL ProficiencyPostgreSQLSupabaseDbtDagsterGraph DatabasesData ModelingData IngestionData TransformationCloud Data Storage

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills

Tools & Technologies

SnowflakeDbtDagsterAWSGit

Industry Keywords

Data EngineeringMedallion ArchitectureAI/ML ConceptsAgile MethodologiesData Orchestration

Tech Stack

Tools & technologies

AWSCloudETLPostgresSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data architectures and data models.
Develop and optimize ETL and data ingestion pipelines following Medallion Architecture principles.
Build and maintain Snowflake data warehouse solutions and dbt transformation models.
Develop workflow orchestration pipelines using Dagster or similar tools.
Manage and optimize cloud-based data storage on AWS S3.
Design and maintain graph-based data models where appropriate.
Support entity-matching pipelines and associated data structures.
Collaborate closely with AI and Data Science teams to enable reliable data consumption for AI applications.
Provide technical guidance and promote data engineering best practices across the team.
Participate in Agile ceremonies and contribute to continuous improvement initiatives.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related field preferred, or equivalent professional experience.
5+ years of experience as a Data Engineer or in a similar role.
Strong experience designing scalable data architectures and data models.
Hands-on experience implementing Medallion Architecture (Bronze, Silver, Gold).
Experience building ETL and data ingestion pipelines.
Advanced SQL proficiency.
Production experience with PostgreSQL or Supabase.
Hands-on experience with Snowflake.
Experience using dbt for data transformation.
Experience working with AWS, particularly S3.
Experience using Dagster or similar workflow orchestration tools.
Familiarity with graph databases.
Understanding of AI/ML concepts, including embeddings and AI-driven data workflows.
Experience using Git and collaborative software development practices.
Strong analytical, problem-solving, and communication skills.
Upper-Intermediate to Advanced English proficiency (B2+/C1).

Benefits

Comp & perks

Work-from-home flexibility