About Creai
At Creai, we specialize in AI consulting and custom software development, integrating artificial intelligence into businesses to drive innovation and efficiency. Our mission is to help clients transform their operations through cutting-edge AI and data-driven solutions. As we continue to expand, we are seeking talented professionals who can shape the future of our products and services with expertise in data architecture and cloud platforms.
Why This Role Matters
As a Data Architect at Creai, you will be responsible for designing, implementing, and maintaining the architecture that enables our data-driven AI solutions. You will lead the development of scalable data systems, ensuring optimal data flows and storage across platforms, with a specific focus on leveraging Microsoft Azure's data capabilities. Your expertise will ensure that our data architecture aligns with business needs and is capable of handling complex AI and machine learning workflows.
Responsibilities
- Design and implement data architectures that support AI and machine learning solutions, ensuring scalability, reliability, and performance.
- Lead data integration efforts, including data pipelines, data warehouses, and data lakes, using Microsoft Azure services.
- Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to ensure that data architecture meets business and technical requirements.
- Optimize database performance, troubleshoot issues, and ensure data security and governance in compliance with industry standards.
- Implement ETL processes, and manage data storage solutions such as Azure SQL, Cosmos DB, or Data Lake Storage.
- Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to build and maintain robust data pipelines.
- Maintain and document data models, architectural guidelines, and best practices to ensure consistent data architecture across projects.
- Monitor and optimize data architectures to improve efficiency and cost-effectiveness in Azure environments.
- Stay updated on new Azure data services and industry best practices to incorporate the latest advancements into the architecture.
Requirements
- Proven experience as a Data Architect with expertise in Microsoft Azure data services.
- Strong understanding of data management principles, data modeling, and data integration techniques.
- Hands-on experience with Azure Data Factory, Azure SQL, Cosmos DB, Azure Synapse Analytics, and other Azure cloud-based data tools.
- Proficiency in building and maintaining data pipelines, data lakes, and data warehouses.
- Experience with ETL processes and tools to automate and optimize data flows.
- Strong knowledge of SQL, as well as experience with NoSQL databases.
- Familiarity with data governance, security standards, and best practices for data architecture in cloud environments.
- Excellent problem-solving and analytical skills, with the ability to work in a fast-paced environment.
- Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field, or equivalent experience.
Preferred Qualifications
- Experience with AI and machine learning workflows, particularly in data preparation and model deployment.
- Familiarity with big data tools like Apache Hadoop or Spark.
- Certifications in Microsoft Azure (e.g., Azure Data Engineer, Azure Solutions Architect) are a plus.
- Experience with data orchestration and automation tools such as Azure Logic Apps or Apache Airflow.
Work from Anywhere
We offer full remote flexibility! You can work from anywhere worldwide as long as you’re available to collaborate during our core hours from 9 AM to 6 PM CST.
Perks & Benefits
- Unlimited PTO: Manage your time effectively and take the time off you need.
- Health insurance for employees in Mexico.
- A budget of USD 1,000 annually for training and professional development.
- A budget to set up your ideal remote workspace.
We Encourage You to Apply!
We know that not everyone will meet every qualification listed. We encourage you to apply even if you don’t meet all the requirements—your unique experience and perspective are valued!