Data Architect

1 semana atrás

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

Data Meaning is a leading Business Intelligence and Data Analytics consulting firm, renowned for delivering high-quality services to clients across the US and beyond. Our expertise lies in crafting tailored solutions in Business Intelligence, Data Warehousing, and Project Management.

About the Role

We are seeking a seasoned 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.

Responsibilities
  • Collaborate with team members to design, develop, and implement modern data architectures that align with customers' 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.
  • Contribute to team and practice development by sharing knowledge, mentoring junior staff, and participating in continuous improvement initiatives.
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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