Senior Data Architect (AI)

Location: Medellin, Colombia; flexible and hybrid work models are available.

Company

hirify.global is a global software and cloud solutions provider and distributor with around 12,000 people across more than 70 countries.

What you will do

• Define and evolve scalable data, governance, and AI architectures, including reusable standards and patterns.
• Lead solution design for strategic opportunities, aligning architecture with client needs and business objectives.
• Make architectural decisions across Microsoft Fabric, Azure, AWS, and Databricks while balancing scalability, cost, risk, and business value.
• Advise technical and executive stakeholders and communicate architecture recommendations.
• Mentor teams and strengthen technical capabilities, standards, and best practices.

Requirements

• Solid experience defining and designing end-to-end enterprise data architectures, from understanding business needs to presenting and defending solutions to technical and executive stakeholders.
• Strong expertise in Microsoft Azure and Microsoft Fabric architectures, including Lakehouse, Warehouse, Data Factory, OneLake, Power BI, SQL, and PySpark/Spark.
• Ability to design solutions using AWS Data Services and Databricks in multicloud environments.
• Advanced knowledge of data architecture and data governance, including Microsoft Purview, data catalogs, lineage, classification, and DAMA-DMBOK principles.
• Experience designing generative AI solutions and modern data architectures, including RAG, embeddings, and vector databases.
• Ability to formally document architecture decisions and standards.
• Strategic thinking, technical leadership, clear communication of complex concepts, influence on decision-making, and effective collaboration with technical, business, and executive stakeholders.

Nice to have

• Certifications such as DP-600, AWS Certified Data Engineer – Associate (DEA-C01), PL-300, AI-900, or AWS Certified AI Practitioner.

Culture & Benefits

• Comprehensive health and well-being support.
• Continuous learning and career development.
• Performance-based incentives and employee share participation.
• Flexible and hybrid work models.
• Participation in global projects.