Arquiteto de Dados AWS
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSSparkCI/CDData modelingDatabricksPySpark
Requirements
- Proven experience as a Data Architect working with AWS-based data solutions.
- Strong expertise in AWS services such as S3, IAM, Glue, Lambda, DMS, Secrets Manager, and CloudWatch.
- Hands-on experience with Databricks ecosystem, including Apache Spark, PySpark, Spark SQL, Delta Lake, Unity Catalog, Workflows, and Auto Loader.
- Solid background in data modeling for analytical environments, including Data Warehouse and Lakehouse architectures.
- Strong knowledge of dimensional modeling and relational databases.
- Experience designing and implementing ETL/ELT pipelines and data integration solutions.
- Familiarity with CI/CD pipelines and code versioning practices.
- English proficiency for technical communication and collaboration.
- Strong soft skills including communication, autonomy, proactivity, and ability to translate complex technical topics for different audiences.
Responsibilities
- Define, evolve, and govern the enterprise data architecture in AWS, ensuring scalability, security, and performance.
- Design and implement Lakehouse solutions using Databricks, Delta Lake, and modern data engineering patterns.
- Establish and enforce standards for data modeling, governance, security, and development best practices.
- Define and optimize data ingestion strategies, including batch, streaming, incremental loads, and CDC pipelines.
- Guide and support data engineering teams in building robust, high-performance data pipelines and solutions.
- Conduct technical architecture reviews, ensuring adherence to best practices and architectural consistency.
- Ensure data quality, integrity, and compliance across multiple data sources and systems.
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
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