Data Architect

4 semanas atrás

Belo Horizonte, Brasil beBeeDataModeler Tempo inteiro

Our client is seeking highly skilled professionals for a contractual project opportunity, working remotely full-time on a one-year contract.

Data architects and modelers design, implement, and document data architecture and modeling solutions using relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, and other business interests.

The ideal candidate will:

  • Develop conceptual, logical, and physical data models and implement RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
  • Oversee and govern the expansion of existing data architecture and optimize data query performance via best practices.

Key responsibilities include:

  • Implementing business and IT data requirements through new data strategies and designs across all data platforms and tools.
  • Collaborating with business and application teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
  • Defining and governing data modeling and design standards, tools, and best practices for enterprise data models.
  • Identifying architectures, infrastructures, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
  • Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC work.
  • Proactively addressing project requirements and articulating issues/challenges to reduce project delivery risks.

Requirements:

  • Bachelor's or master's degree in computer science or related field.
  • 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-datacenter contexts required.
  • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
  • Experience in team management, communication, and presentation.

We offer competitive compensation packages and opportunities for professional growth and development.

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