Senior Data Systems Architect

Há 12 horas

Brasil Andela Tempo inteiro

At Andela, we're on a mission to bridge the gap between brilliant technologists and innovative organizations. As a Data Architect with our esteemed client, you'll play a pivotal role in designing, building, and maintaining scalable data systems that drive critical business insights.

About the Opportunity

We're seeking a highly skilled and experienced Data Architect to join our remote team. In this role, you'll 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

  • Data Architecture Design: Develop and implement an enterprise data architecture strategy, ensuring alignment with the organization's goals and objectives.
  • Data Modeling: Design conceptual, logical, and physical data models to meet the needs of complex, large-scale systems.
  • Data Pipelines & ETL/ELT Processes: Lead the development of scalable and efficient ETL/ELT pipelines, enabling real-time and batch data processing.
  • Data Governance: Establish best practices for data governance, data quality, data lineage, and metadata management.
  • Cloud Data Infrastructure: Architect and optimize cloud-based data storage solutions (e.g., AWS, Azure, GCP), with a focus on cost-efficiency and performance.
  • Collaboration: Work closely with Data Engineers, Data Analysts, and Software Engineers to develop integrated data solutions and ensure smooth data flow across systems.
  • Security & Compliance: Ensure data architectures comply with security standards, industry regulations, and best practices related to data privacy (e.g., GDPR, CCPA).
  • Performance Tuning: Continuously monitor, analyze, and optimize data storage and retrieval performance, ensuring scalability and reliability.
  • Data Integration: Oversee the integration of data from various internal and external data sources into a unified system.
  • Technology Roadmap: 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 years 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.

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