We are a general technology consultancy with a trademarked, AI-first approach —Gen-e2TM. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

Your Role As a Data Architect , you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision-making and digital transformation.

Key Responsibilities Strategy &

• Architecture Define, evolve, and document the organization's data architecture aligned with business and IT strategy. Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards. Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs. Governance, Privacy &

• Quality Define policies and standards for data governance, quality, privacy, cataloging, and lineage. Lead adoption of metadata management and data discovery tools across teams. Ensure compliance with internal and external data regulations and security requirements. Data Integration &

• Design Architect data integration solutions (ETL/ELT, real-time and batch pipelines). Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh. Define integration patterns and data federation frameworks to deliver a 360° data view. Collaboration &

• Leadership Act as a technical reference in data architecture, guiding engineering, analytics, and business teams. Promote adoption of data models, standards, and best practices across the organization. Translate business needs into scalable data solutions and facilitate technical-business alignment.

Who You Are Education Bachelor's degree in Mechatronics Engineering, Applied Mathematics,



Software Engineering, Computer Science, or related fields.

Microsoft

Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.

Required Experience 10+ years of experience in Data engineer 3+ years designing cloud-based data architectures (Azure, AWS, or GCP). 2+ years in data architecture, enterprise data modeling, or data governance. Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures. Participated in multi-source data integration projects (on-premise, cloud, external sources).

In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.

Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus.

Technical Expertise Data Modeling: Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.

Governance: Data lineage, quality, privacy, RBAC, metadata management.

Platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB.

Data Integration: Azure Data Factory, API Management, integration patterns, Azure Databricks. Terraform, Azure DevOps (preferred).

Languages & Tools: SQL, Python (architectural level), JSON, Java, Scala.

CI/CD: Git, Sonar, DevOps best practices. Designs with the data consumer experience in mind. AI-Native Engineering (Core Expectation) Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for: Code scaffolding and refactoring Code generation and optimisation Test-cases and documentation generation Build applications through AI-driven development practices , including: More About PALO IT Our clients include some of the world's most successful companies.

What We Offer Stimulating working environments Unique career path International mobility Internal R&D; projects (including Gen-e2TM) Knowledge sharing Personalized training via PALO IT Academy Entrepreneurship & intrapreneurship For more on our team culture and benefits, check out our careers page.

📌 Data Engineer AWS/DevOps (Álvaro Obregón)
🏢 Palo It
📍 Álvaro Obregón