Data Architect

Há 5 horas

São Paulo, São Paulo, Brasil Data Meaning Tempo inteiro
Solution Architect

Data Meaning is a leading consulting firm in Business Intelligence and Data Analytics, renowned for delivering high-quality services to clients across the globe. We have a diverse team of consultants working remotely, embodying a collaborative and innovative work culture.

Job Summary

We are seeking an experienced Solution Architect to lead the development and implementation of advanced data strategies and architectures for our clients. As a key member of our team, you will collaborate with internal teams and customers to design scalable, efficient, and secure data systems, primarily on cloud platforms like Azure and AWS.

Key Responsibilities
  • Collaborate with team members to design, develop, and implement modern data architectures that align with clients' business strategies and goals.
  • Contribute to the creation and maintenance of architecture diagrams, data models, and other key project deliverables.
  • Provide technical expertise in data management, ensuring data integrity, security, and optimal performance in cloud-based environments.
  • Work closely with the sales team to formulate data solutions for prospective clients, assisting in the creation of project plans, timelines, and estimates.
  • Present technical solutions and project plans to customers, ensuring clarity and alignment with their business objectives.
  • Function as a senior technical resource during the implementation of projects, ensuring alignment with client expectations and maintaining high-quality standards throughout the project lifecycle.
  • Participate in code and architecture reviews, ensuring that data solutions adhere to high standards of performance, scalability, and maintainability.
Requirements
  • 10+ years of experience designing and implementing data architectures, with a strong focus on cloud-based platforms (Azure, AWS).
  • Strong expertise in cloud data platforms (Snowflake, Synapse, Databricks); certifications preferred.
  • Familiarity with data engineering best practices, including ETL/ELT processes, data lakes, and data warehousing.
  • Ability to work collaboratively in distributed teams across multiple geographies.
  • Outstanding communication skills with the ability to engage with both technical and non-technical stakeholders.
  • Strong problem-solving and analytical skills, with attention to detail in designing and implementing complex data systems.
  • Flexibility and adaptability to work in dynamic environments, managing multiple priorities and meeting tight deadlines.
  • Experience designing data pipelines that support AI/ML workloads, ensuring that data is structured and processed for effective model training, evaluation, and deployment.

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