Job Overview
Location
Argentina
Job Type
Full-time
Category
Software Engineering
Date Posted
May 23, 2026
Full Job Description
đź“‹ Description
- • Design, develop, and maintain scalable data pipelines using Azure Data Factory, SQL, and Python to support analytics and business decision-making.
- • Build and optimize ETL/ELT processes across Microsoft-based cloud data platforms including Azure Data Factory and Microsoft Fabric.
- • Work with Microsoft Fabric to enable modern analytics and data engineering workflows aligned with client needs.
- • Develop and maintain data models and transformation logic that support reporting, dashboards, and analytical applications.
- • Collaborate with data analysts, business stakeholders, and technical teams to translate business requirements into technical data solutions.
- • Support Power BI reporting by ensuring datasets are clean, reliable, well-structured, and optimized for performance.
- • Ensure data quality, consistency, and performance across ingestion, transformation, and reporting layers of the data pipeline.
- • Monitor and optimize data workflows for reliability, scalability, and long-term maintainability.
- • Contribute to CI/CD practices, deployment automation, and operational best practices within the Microsoft Azure ecosystem.
- • Support data governance initiatives by documenting data lineage, transformation rules, and system architecture.
- • Participate in process improvement efforts to enhance efficiency, reduce technical debt, and standardize data engineering practices.
- • Integrate with client teams either as part of embedded project teams or as independent consultants to deliver measurable data outcomes.
- • Leverage advanced cloud technologies to modernize legacy data systems and enable scalable, secure, and high-performance data solutions.
- • Apply top engineering practices to architect data solutions that align with client business vision and digital transformation goals.
- • Contribute to the delivery of data-driven insights through analytics and visualization platforms within the Microsoft stack.
- • Engage in cross-functional collaboration across global teams in the US, India, and Argentina to ensure consistent delivery of data engineering services.
🎯 Requirements
- • Proficiency in Azure Data Factory for building and orchestrating data pipelines
- • Strong SQL skills for data querying, transformation, and modeling
- • Experience with Python for data engineering tasks
- • Hands-on experience with Microsoft Fabric for modern analytics workflows
- • Familiarity with Power BI and supporting its data needs through structured datasets
- • Understanding of CI/CD, deployment automation, and operational best practices in Azure
🏖️ Benefits
- • Opportunity to work with global clients across the US, India, and Argentina
- • Exposure to cutting-edge Microsoft data stack technologies including Azure Data Factory, Microsoft Fabric, and Power BI
- • Collaborative, cross-functional team environment with direct client engagement
- • Role focused on building scalable, high-impact data solutions that drive business value
Skills & Technologies
About Allata, LLC
Allata is a strategic technology consultancy that designs and delivers enterprise-level digital solutions for Fortune 1000 companies. It specializes in cloud architecture, data engineering, customer experience platforms, and custom software development across financial services, healthcare, retail, and manufacturing. The firm partners with clients to modernize legacy systems, implement scalable cloud and data strategies, and create omnichannel customer experiences that drive measurable business outcomes. Allata operates from offices in Dallas, Phoenix, Atlanta, and Salt Lake City, combining business strategy with deep technical expertise to accelerate digital transformation initiatives.
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