Data Architect ID52062

AgileEngine; São Luís; On-site; BRL 200,880 - 267,840; Full time

Benefits offered by this job

Professional growth programs

Competitive compensation with benefits

Flexible schedule with remote options

Job summary

AgileEngine in São Luís, Brazil is seeking a Cloud Data Architect to spearhead the design of a next-generation AWS data platform. The role offers a unique opportunity to shape data architecture, implement governance frameworks, and enhance the integration of structured and unstructured data. Ideal candidates will have extensive experience with AWS, a strong grasp of data modeling, and proficiency in Python and SQL. Join a team that works with Fortune 500 clients and enjoy flexible working arrangements.

Qualifications

• 8+ years of experience in data engineering or architecture.
• 5+ years of experience working with AWS data ecosystems.
• Expertise with AWS core services like S3, Glue, and Redshift.

Responsibilities

• Lead design and implementation of enterprise data architecture.
• Develop data models, pipelines, and schemas for analytics.
• Optimize AWS-based data infrastructure using core services.
• Document architecture, standards, and data flows.

Skills

Data engineering

AWS data ecosystems

Data modeling

Python

SQL

Spark (PySpark)

Data governance

Tools

AWS core services (S3, Glue, Redshift)

Data integration tools (dbt, Airflow)

Infrastructure as code (Terraform, CloudFormation)

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

As a Cloud Data Architect, you’ll lead the design of a next-generation AWS data platform from the ground up — building the Medallion Lakehouse architecture that will become the unified data foundation for the entire organization. This is a greenfield opportunity for a senior architect who wants genuine ownership: shaping ingestion patterns, governance frameworks, and scalable data models across S3, Redshift, Glue, dbt, and Airflow.

WHAT YOU WILL DO

• Lead design and implementation of enterprise data architecture following Medallion framework;
• Develop data models, pipelines, and schemas for data unification, governance, and analytics;
• Build and optimize AWS-based data infrastructure using core services;
• Implement Lakehouse architecture integrating structured and unstructured data;
• Ensure performance, scalability, and cost efficiency of the data ecosystem;
• Design and oversee data ingestion from multiple on-prem and cloud systems;
• Define integration strategies using batch, streaming, and event-driven patterns;
• Collaborate with governance teams to enforce data security, access control, and quality;
• Work with engineering and business teams to deliver scalable data solutions;
• Support data platform modernization initiatives and roadmap execution;
• Document architecture, standards, and data flows for diverse audiences.

MUST HAVES

• 8+ years of experience in data engineering or architecture;
• 5+ years of experience working with AWS data ecosystems;
• Expertise with AWS core services (S3, Glue, Redshift, Lambda, Athena, Kinesis, EMR);
• Experience with data integration tools (dbt, Step Functions, Airflow, AWS DMS, Kafka, Kinesis);
• Strong knowledge of data modeling (Medallion/Lakehouse, dimensional modeling, Data Vault, Kimball);
• Experience with infrastructure as code (Terraform, CloudFormation);
• Proficiency in Python, SQL, and Spark (PySpark) for ETL;
• Strong understanding of data governance, quality, and security;
• Experience with enterprise-scale architecture and data integration;
• Upper-intermediate English level.

NICE TO HAVES

• Practical experience and certification with Boomi AtomSphere.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.