Allata

QA Engineer

• Allata is a global consulting and technology services firm helping organizations accelerate growth, drive innovation, and solve complex challenges.
• Architect and modernize secure, scalable solutions using cloud platforms and engineering best practices.
• Empower clients to unlock data value through analytics, visualization, and AI-driven automation.
• Develop client testing across manual, automated, and data testing efforts.
• Define and execute test strategies, plans, and CI/CD integration.
• Design and validate data testing using synthetic datasets.
• Collaborate with product, engineering, and US stakeholders to ensure quality across releases.
• Track quality metrics, report risks, and drive continuous improvement.

QA Lead

Data Engineer

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. We are seeking a skilled Lead Data Engineer Databricks to contribute to transformative enterprise data platform projects focused on developing data pipelines and logic engines to manage ingest, staging, and multi-tier data product modeling. Additionally, this includes but is not limited to data enrichment using various OEM-specific data warehouse and data lake house platform implementations for consumption via analytics clients. This role requires full life cycle design, build, deployment and optimization data products for multiple large enterprise industry vertical-specific implementations by processing datasets through a defined series of logically conformed layers, models, and views.