Data Architect

CriticalRiver Inc.; Teletrabalho; BRL 430.000 - 646.000; Tempo integral

Resumo da oferta

A leading data solutions company is seeking a Data Architect to design and implement data architecture aligned with business strategies. Responsibilities include creating data models, collaborating with stakeholders, and ensuring data governance and security. The ideal candidate is skilled in modern data modelling, Snowflake architecture, and advanced SQL & Python. Experience with AWS infrastructure and ELT strategies is preferred. This remote role primarily supports LATAM hours.

Qualificações

• Expertise in dbt modelling approaches and Snowflake‑optimized schemas.
• Strong knowledge of scaling, clustering, and storage optimization.
• Ability to design and manage complex Airflow DAGs.

Responsabilidades

• Develop and maintain overall data architecture aligned with organizational strategy.
• Create conceptual, logical, and physical data models.
• Partner with stakeholders to translate requirements into scalable data solutions.
• Define and enforce data governance, quality, and security standards.
• Oversight of data pipelines, warehouses, lakes, and APIs.
• Ensure high performance, scalability, and reliability of all 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