Cloud Systems Architect is responsible for the design and management of an organization's cloud systems, applications, policies, and strategy. Evaluates and identifies the best cloud solutions for the organization. Being a Cloud Systems Architect develops and modifies scalable architecture to support applications and infrastructure-as-a-service (IAAS) and platform-as-a-service (PAAS) platforms. Ensures the security and compliance of cloud environments, including data protection and privacy. Additionally, Cloud Systems Architect monitors and analyzes cloud infrastructure performance to identify and resolve issues proactively. Collaborates with cross-functional teams to optimize cloud-based environments for performance, scalability, and cost-effectiveness. Designs controls and processes that utilize available audit tools. Maintains up-to-date and extensive knowledge of cloud products and technology. Typically requires a bachelor's degree. Typically reports to a manager. The Cloud Systems Architect works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be a Cloud Systems Architect typically requires 10+ years of related experience. (Copyright 2024 Salary.com)
Role : Google Cloud Platform Lead or Architect
Location-Atlanta, GA, Hybrid Onsite
lead or Architect
Mandatory Skills-Big Data, Google Cloud Platform, Apache Spark
JD-
become part of the team implementing and supporting edge analytical solutions on a Google Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies. What you'll do Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using Google Cloud Platform Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc. Work across Teams and senior engineers to make Data more accessible to others within the organization. Modify data extraction pipelines into standardized approaches that can be repeatable and reusable with minimal supervision from senior engineers. Automation of manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc. Work closely with senior engineers to optimize query and data access techniques. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Participate in a tight-knit engineering team employing agile software development practices. What experience you need Bachelor's degree in Computer Science, Systems Engineering or equivalent experience. 5 years of work experience as a Big Data Engineer. 3 years of experience using Technologies such as Apache Spark, Hive, HDFS, Beam (Optional). 3 years of experience in SQL and Scala or Python. 2 years experience with software build management tools like Maven or Gradle. 2 years of experience working with Cloud Technologies such as Google Cloud Platform, AWS or Azure. What could set you apart Data Engineering using Google Cloud Platform Technologies (BigQuery, DataProc, Dataflow, Composer, DataStream, etc) Experience writing data pipelines. Self-starter that identifies/responds to priority shifts with minimal supervision Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, Oracle, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github