Data Solution Architect

Guatemala·Guatemala (hybrid)Hybridmid

OtherSolution Architect

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Quick Summary

Overview

We are looking for a Data Solution Architect to lead the design and evolution of modern, scalable data platforms on Microsoft Azure. In this role, you will define architecture standards, guide engineering teams, and ensure that data platforms are secure, governed, reusable, and future-ready.

Key Responsibilities

Define and evolve target architecture and platform standards for Azure-based data solutions Guide teams through architecture decisions, ensuring alignment with long-term roadmap and best practices Design scalable and governed data platforms,…

Requirements Summary

Proven experience designing and implementing Azure-based data platforms Strong background in cloud architecture, data engineering, and platform design Experience working in regulated or compliance-sensitive environments - life sciences, medical…

Technical Tools

airflowazuredbtgithub-actionskafkaopenaipythonsparksqlterraformci-cdmentoringnetworking

We are looking for a Data Solution Architect to lead the design and evolution of modern, scalable data platforms on Microsoft Azure.

In this role, you will define architecture standards, guide engineering teams, and ensure that data platforms are secure, governed, reusable, and future-ready. You will operate at the intersection of enterprise architecture, data engineering, and cloud platform development—helping shape both strategic direction and hands-on implementation.

This is a high-impact senior position with strong influence on how data and AI capabilities are built and delivered across complex environments.

Responsibilities

~1 min read

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Define and evolve target architecture and platform standards for Azure-based data solutions
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Guide teams through architecture decisions, ensuring alignment with long-term roadmap and best practices
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Design scalable and governed data platforms, including data flows, integration patterns, and service selection
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Embed security, observability, reliability, and cost optimization into platform design from the start
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Provide hands-on architecture guidance and review technical designs across teams
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Support implementation by translating architecture into practical, reusable patterns
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Maintain architecture artifacts such as reference architectures, diagrams, and decision records
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Drive platform-as-a-product mindset, enabling self-service and reusable data capabilities
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Ensure that the platform is AI-ready, while preserving governance and clarity of responsibilities

Proven experience designing and implementing Azure-based data platforms
Strong background in cloud architecture, data engineering, and platform design

Experience working in regulated or compliance-sensitive environments - life sciences, medical devices, pharma, healthcare, banking, or government
Ability to move seamlessly from high-level strategy to hands-on detail
Track record of treating platforms as products, not one-off projects
Experience leading architecture discussions and mentoring engineering teams
Full professional English, with experience leading architecture discussions directly with enterprise clients

Azure Data Factory, Databricks (incl. Unity Catalog), Microsoft Fabric, Synapse
Azure Data Lake Storage (Gen2), Event Hubs, Stream Analytics, Functions
Azure OpenAI (integration perspective)
Azure Monitor, Log Analytics, Key Vault
Networking, identity (Entra ID), private endpoints, zero-trust architectures

Apache Spark, Kafka, Airflow, dbt
Delta Lake, Python, SQL
Batch & streaming architectures, REST and event-driven integrations

Infrastructure as Code (Terraform)
CI/CD (GitHub Actions, Azure DevOps)
GitOps practices

Data catalog and lineage tools (Purview, Unity Catalog, Atlan, OpenMetadata, etc.)
Data contracts and schema registry patterns

Systems thinking and ability to evaluate trade-offs and dependencies
Pragmatic approach - balancing ideal architecture with delivery reality
Data-driven decision making, based on patterns and evidence
Continuous improvement mindset and comfort with iterative platform evolution