Data Architect

CriticalRiver Inc.; Teletrabalho; BRL 423.000 - 635.000; Tempo integral

Resumo da oferta

A leading data solutions company is seeking a Data Architect to develop and maintain the data architecture aligned with organizational strategy. This remote role involves creating data models, collaborating with stakeholders for scalable solutions, enforcing data governance standards, and evaluating cloud platforms. The ideal candidate should have expertise in Snowflake, dbt modelling, and ELT strategies. This is an opportunity to work with cutting-edge technology and drive data initiatives in an agile environment.

Qualificações

• Expertise with dbt modelling approaches and Snowflake-optimized schemas.
• Strong knowledge of virtual warehouses and scaling in Snowflake.
• Ability to design and manage complex Airflow DAGs.
• Expertise in transforming and orchestrating data using SQL & Python.
• Experience with AWS S3, IAM for secure data access.
• Skilled in building ELT pipelines using Fivetran and dbt.

Responsabilidades

• Develop and maintain the data architecture aligned with strategy.
• Create conceptual and physical data models for various needs.
• Partner with stakeholders to translate requirements into solutions.
• Define and enforce data governance and security standards.
• Evaluate and select appropriate cloud platforms and tools.
• Oversee delivery of data pipelines and APIs.
• Ensure performance, scalability, and reliability of data systems.

Conhecimentos

Modern Data Modelling

Snowflake Architecture

Airflow Orchestration

Advanced SQL & Python

AWS Infrastructure

ELT Strategy

Descrição da oferta de emprego

Job Title : Data Architect Duration : 6months

Location : LATAM [Remote]

Need to support PST timings

Description : What You'll Do

Design & Strategy : Develop and maintain the overall data architecture aligned with organizational strategy.

Blueprint Creation : Create conceptual, logical, and physical data models to support data storage, processing, and consumption needs.

Cross‑Functional Collaboration : Partner with business and technical stakeholders to translate requirements into scalable data solutions.

Governance & Security : Define and enforce data governance, data quality, and security standards across all data systems.

Technology Selection : Evaluate and select cloud platforms, storage solutions, and data processing tools appropriate for enterprise needs.

Implementation Leadership : Oversee the delivery of data pipelines, data warehouses, data lakes, and APIs.

Performance Optimization : Ensure high performance, scalability, and reliability across all data systems.

Key Skills

• Modern Data Modelling : Expertise with dbt modelling approaches and Snowflake‑optimized schemas (e.g., Star Schema, Data Vault).
• Snowflake Architecture : Strong knowledge of virtual warehouses, scaling, clustering, and storage optimization.
• Airflow Orchestration : Ability to design and manage complex Airflow DAGs.
• Advanced SQL & Python : Expertise in transforming, processing, and orchestrating data.
• AWS Infrastructure : Hands‑on experience with S3, IAM, and Private Link for secure and efficient data access.
• ELT Strategy : Skilled in building ELT pipelines using tools like Fivetran and dbt.

Preferred Skills

• Active Metadata & Governance (Atlan)
• BI Semantic Layering
• Data Mesh & Data Contracts
• FinOps & Cost Governance
• CI / CD for Data Pipelines