• Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations. • Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark. • Optimize data structures and queries for performance, reliability, and cost efficiency. • Drive data quality and governance initiatives, including metadata management and validation frameworks. • Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements. • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability. • Ensure adherence to security, compliance, and data privacy standards. • Mentor junior engineers and contribute to establishing engineering best practices. • Support CI/CD pipeline development for data workflows using GitLab or Azure DevOps. • Partner with data consumers to publish curated datasets into reporting tools such as Power BI.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description RYZ Labs is hiring for a Data Center Operations Technician to provide daily technical support, ensure system health, perform routine maintenance, and respond to incidents/outages. Day/night shifts and on-call required. - Provide Tier 1/2 support for data center systems and services. - Monitor performance/alerts; triage and remediate issues. - Perform routine maintenance, patching, firmware updates, backups, and health checks. - Handle racking/stacking, cabling, and hardware replacements. - Respond to incidents/outages; escalate and document RCAs. - Maintain runbooks, SOPs, and accurate tickets. Qualifications - 2+ years in data center/IT operations or NOC. - Familiar with Linux/Windows, virtualization (VMware/KVM), and basic networking. - Experience with monitoring and ticketing tools; ITIL a plus. - Strong troubleshooting and communication skills; able to work shifts/on-call and handle equipment. Company Description RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. - Our teams are remote and distributed throughout the US and Latam. - They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. - We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. - At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. - We provide an environment of opportunities, learning, growth, expansion, and challenging projects. - You will deepen your experience while sharing and learning from a team of great professionals and specialists. - Customer First Mentality - every decision we make should be made through the lens of the customer. - Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated. - Ownership - step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect. - Frugality - being frugal and cost-conscious helps us do more with less. - Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

• Design and maintain enterprise data architecture standards leveraging Snowflake. • Collaborate with SAP data teams to ensure seamless data ingestion from SAP and non-SAP sources. • Develop scalable data modeling frameworks, including medallion architectures for enterprise data products. • Establish data performance, cost optimization, and security standards across the Snowflake environment. • Guide integration with Power BI and other analytics platforms for efficient data delivery. • Mentor engineering teams on Snowflake data patterns, performance tuning, and governance best practices.

• Designs, builds, and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store, and utilize structured and unstructured data • Contributor to the overall Data Product roadmap by working closely with our business partners to understand their challenges and develop analytical tools to help drive business decisions • Develops technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data • Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies • Creates and establishes design standards and assurance processes for software, systems, and applications development • Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage • Design, develop, and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring of applications. • Implement and manage serverless solutions • Implement infrastructure as code (IaC) practices • Work with development teams to set up automated testing frameworks • Understands the basics of relational data modeling