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Sr Data Architect
Posted 17 days agoViewed
💎 Seniority level: Senior
🏢 Company: RecargaPay👥 501-1000💰 $10,000,000 Debt Financing over 2 years agoMobile PaymentsFinancial ServicesFinTech
Requirements:
- Data Modeling (conceptual, logical, and physical)
- SQL and NoSQL Databases (PostgreSQL, MySQL, Oracle, ElasticSearch)
- Data Warehousing and Data Lakes Architecture (Snowflake, Redshift, BigQuery, Hadoop)
- ETL/ELT and Data Integration (Apache Airflow, DBT)
- Big Data and Distributed Processing (Spark, Kafka, Flink, Databricks)
- Cloud Computing (AWS, Azure, Google Cloud – services like S3, Glue, Data Factory, BigQuery)
- Data Security and Governance (LGPD, GDPR, RBAC, data encryption)
- APIs and System Integration (REST, GraphQL, gRPC)
- Agile Methodologies (Scrum, Kanban)
Responsibilities:
- Define and design the company's data architecture, aligned with best practices and business needs.
- Create conceptual, logical, and physical data models, ensuring data structuring and integrity.
- Develop robust and scalable data pipelines, optimizing ETL/ELT processes for Big Data and Data Warehousing.
- Lead data governance initiatives, establishing quality, security, and compliance policies (LGPD, GDPR).
- Ensure interoperability between systems and platforms, creating architectures that enable integration across multiple data sources.
- Support the selection of technologies and tools for data storage, processing, and analysis (Data Lakes, Data Warehouses, Cloud, etc.).
- Collaborate with cross-functional teams (Data Engineers, Data Scientists, BI Analysts) to ensure data efficiency and quality.
- Conduct audits and optimizations to improve the performance of databases and data solutions.
- Document processes, architecture, and data standards to ensure reproducibility and maintenance.
- Act as a technical mentor, training other professionals and ensuring the dissemination of best practices in data architecture.
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