Data Architect

1 semana atrás


Brasília, Distrito Federal, Brasil Andela Tempo inteiro
About the Role

We are seeking a highly skilled and experienced Data Architect to design, build, and maintain scalable data systems that support critical business insights. As a Data Architect, you will be responsible for developing the overall data architecture, ensuring data integrity, optimizing data pipelines, and collaborating with cross-functional teams to support both current and future business needs.

Key Responsibilities
  • Develop and implement an enterprise data architecture strategy, ensuring alignment with the organization's goals and objectives.
  • Design conceptual, logical, and physical data models to meet the needs of complex, large-scale systems.
  • Lead the development of scalable and efficient ETL/ELT pipelines, enabling real-time and batch data processing.
  • Establish best practices for data governance, data quality, data lineage, and metadata management.
  • Architect and optimize cloud-based data storage solutions (e.g., AWS, Azure, GCP), with a focus on cost-efficiency and performance.
  • Work closely with Data Engineers, Data Analysts, and Software Engineers to develop integrated data solutions and ensure smooth data flow across systems.
  • Ensure data architectures comply with security standards, industry regulations, and best practices related to data privacy (e.g., GDPR, CCPA).
  • Continuously monitor, analyze, and optimize data storage and retrieval performance, ensuring scalability and reliability.
  • Oversee the integration of data from various internal and external data sources into a unified system.
  • Stay up-to-date with emerging technologies, tools, and methodologies, and provide recommendations for their application in data architecture and engineering.
Requirements
  • At least 5 yrs of experience in data architecture and data engineering roles.
  • Strong experience with data warehousing, big data technologies, and distributed systems (e.g., Hadoop, Spark).
  • Proven experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools (e.g., Redshift, BigQuery, Databricks).
  • Expertise in designing and optimizing large-scale data models, database design, and performance tuning.
  • Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java).
  • Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Informatica).
  • Knowledge of data governance frameworks and best practices.
  • Familiarity with data security and compliance standards (e.g., GDPR, HIPAA).
  • Ability to work with cross-functional teams and communicate complex technical concepts effectively.
  • Experience with API-driven architectures and microservices is a plus.
  • Experience with machine learning pipelines and integrating ML models into data architectures is preferred.
  • Familiarity with streaming data processing tools (e.g., Kafka, Flink) is preferred.
About Andela

Andela is a company that connects brilliance and opportunity. We are dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. We offer competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

We are passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way. We are excited to continue building our remote-first team with incredible people like you.


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