Talent Hackers is hiring a
Cloud Architect

Summary

The role is a key member of the platform team on the Data, Analytics and AI platform, responsible for improving data reliability, analyzing data needs, designing systems for optimal data extraction, ensuring security, meeting business requirements, collaborating with teams, and working with stakeholders. The job requires strong experience in various technologies, languages, and cloud platforms.

Requirements

• Strong experience in designing, architecting, and implementing some of the following: Distributed high-scale applications, Big Data, Analytics, high-performance Databases & Data Warehouse
• Experience architecting and developing solutions built on public clouds: Azure, AWS, Google Cloud
• Working knowledge of software development practices and technologies: Agile (Scrum, Kanban, etc.), CI/CD, DevOps, DataOps, IaC, Automation, API-first, Microservices
• Experience with relational SQL and NoSQL databases: Oracle, SQL Server, PostgreSQL, Azure Synapse, Azure Cosmos DB, Amazon RedShift, Google Cloud BigTable, MongoDB, Cassandra
• Experience with big data tools: Spark
• Experience developing Microservices and with languages like: Python, Java, Scala, Node.js

Responsibilities

• Serve as a key member of the platform team in helping to success in building services on the Data, Analytics and AI platform
• Identify ways to improve data reliability, efficiency and quality
• Analyze the data needs of the company and uses skills in coding to maintain secure databases
• Design the systems required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
• Design scalable data pipelines to support continuing increases in data volume and complexity, increasing data accessibility and fostering data-driven decision making across the organization
• Ensure security and governance for the data. Work with data and analytics experts to strive for greater functionality in our data systems
• Ensure that all systems meet the business/company requirements as well as industry practices
• Collaborate with members of the teams (Data scientists, Data analysts, Architects, etc.) on achieving goals
• Work with stakeholders including the Business & IT teams to assist with data-related technical issues and support company needs

Preferred Qualifications

Demonstrated ability to adapt to new technologies and learn quickly

Benefits

• Flexible hours
• Remote work
• Health insurance
• Ticket restaurant