- This position is open to candidates located in Colombia or Costa Rica only -
Application Data Architect
This hybrid role combines technical architecture leadership (50%) and hands-on data engineering (50%). You will lead the design and evolution of enterprise data platforms while actively contributing to delivery.
You’ll collaborate with Enterprise Architecture, Data Architecture, Product Owners, and cross-functional engineering teams to translate strategy into scalable, production-ready solutions.
This role expands beyond execution, driving technical direction, standards, and system-level thinking across multiple initiatives.
Key Responsibilities
1. Architecture & Technical Leadership
- Design and evolve enterprise data architectures, including Lakehouse, Data Warehouse, pipelines, semantic models, and reporting layers.
- Define and maintain architectural standards, patterns, and best practices across Microsoft Fabric and Azure services.
- Translate enterprise data strategy into epics, features, and actionable technical stories.
- Lead technical planning activities, identifying dependencies, risks, and trade-offs early in the lifecycle.
- Establish and enforce standards for data quality, taxonomy, pipeline design, and semantic modeling.
- Review solution designs and critical implementations to ensure scalability, performance, and maintainability.
- Act as a technical leader and mentor, elevating engineering practices and system-level thinking.
- Serve as a technical integrator across Data Engineers, Data Scientists, and Architects
2. Data Engineering & Delivery
- Design, build, and enhance data pipelines, dataflows, notebooks, and semantic models.
- Contribute hands-on to complex and high-impact initiatives where architecture and implementation intersect.
- Support platform modernization, including migration from on-prem SQL Server to Microsoft Fabric.
- Optimize data solutions for performance, reliability, and cost efficiency.
- Collaborate with Data Scientists to productionize ML models and integrate them into enterprise pipelines.
- Apply AI-assisted techniques to improve development workflows and solution quality.
- Deliver scalable, maintainable, and high-quality data solutions aligned with best practices.
3. Operational Excellence & Collaboration
- Participate in cross-project planning and release activities.
- Collaborate with Product Owners and stakeholders to align solutions with business needs and priorities.
- Monitor systems using logs and dashboards to ensure performance, reliability, and issue resolution.
- Create and maintain clear, concise technical documentation (architecture, systems, processes).
- Contribute to a collaborative, inclusive, and team-first engineering cult