Remote Sr Data Architect

Description:

• The Senior Data Architect is responsible for designing, developing, and implementing scalable, secure, and efficient data architectures to meet the organization's strategic needs.
• This role ensures data governance, process optimization, and system integration, contributing to data-driven decision-making.
• The architect will define and design the company's data architecture, aligned with best practices and business needs.
• They will create conceptual, logical, and physical data models, ensuring data structuring and integrity.
• The position involves developing robust and scalable data pipelines, optimizing ETL/ELT processes for Big Data and Data Warehousing.
• The architect will lead data governance initiatives, establishing quality, security, and compliance policies (LGPD, GDPR).
• They will ensure interoperability between systems and platforms, creating architectures that enable integration across multiple data sources.
• The role includes supporting the selection of technologies and tools for data storage, processing, and analysis (Data Lakes, Data Warehouses, Cloud, etc.).
• Collaboration with cross-functional teams (Data Engineers, Data Scientists, BI Analysts) is essential to ensure data efficiency and quality.
• The architect will conduct audits and optimizations to improve the performance of databases and data solutions.
• Documentation of processes, architecture, and data standards is required to ensure reproducibility and maintenance.
• Acting as a technical mentor, the architect will train other professionals and ensure the dissemination of best practices in data architecture.

Requirements:

• Proficiency in Data Modeling (conceptual, logical, and physical) is required.
• Experience with SQL and NoSQL Databases such as PostgreSQL, MySQL, Oracle, and ElasticSearch is necessary.
• Knowledge of Data Warehousing and Data Lakes Architecture, including Snowflake, Redshift, BigQuery, and Hadoop, is essential.
• Familiarity with ETL/ELT and Data Integration tools like Apache Airflow and DBT is required.
• Experience with Big Data and Distributed Processing technologies such as Spark, Kafka, Flink, and Databricks is necessary.
• Proficiency in Cloud Computing platforms (AWS, Azure, Google Cloud) and services like S3, Glue, Data Factory, and BigQuery is required.
• Understanding of Data Security and Governance practices, including LGPD, GDPR, RBAC, and data encryption, is essential.
• Experience with APIs and System Integration methods (REST, GraphQL, gRPC) is required.
• Familiarity with Agile Methodologies such as Scrum and Kanban is necessary.
• Nice-to-haves include certifications like AWS Certified Data Analytics, Google Cloud Professional Data Engineer, and Azure Data Engineer Associate.
• Experience with Visualization and BI tools (Qlik Sense, Tableau) is a plus.
• Experience with real-time data engineering and serverless architectures is desirable.
• Knowledge of Machine Learning and AI applied to data is a bonus.

Benefits:

• The position offers a competitive and market-aligned salary.
• Employees can work remotely, allowing them to be part of the team from anywhere.
• A home office allowance is provided through a monthly deposit in the RecargaPay app.
• Health and dental plans are available with no co-pay.
• Life insurance is included as part of the benefits package.
• A flexible meal allowance is provided via Flash.
• A TotalPass membership is offered to support health and wellness.
• Spanish or Portuguese classes are available for employees.