Job Description
ob description
Unlock yourself. Take your career to the next level.
At Atrium, we live and deliver at the intersection of industry strategy, intelligent platforms, and data science - empowering our customers to maximize the power of their data to solve their most complex challenges. We have a unique understanding of the role data plays in the world today and serve as market leaders in intelligent solutions. Our data-driven, industry-specific approach to business transformation for our customers places us uniquely in the market.
Who are you
You are smart, collaborative and take ownership to get things done. You love to learn and are intellectually curious in business and technology tools, platforms and languages. You are energized by solving complex problems and bored when you don't have something to do. You love working in teams, and are passionate about pulling your weight to make sure the team succeeds.
What will you be doing at Atrium
In this role, you will join the best and brightest in the industry to skillfully push the boundaries of what's possible by uncovering predictive insights. You will work with customers to make smarter decisions through innovative problem-solving using AI, Analytics, and systems of intelligence. You will partner to advise, implement, and optimize solutions through industry expertise, leading cloud platforms and data science.
The Tableau Architect will provide recommendations to customers in relation to Tableau server architecture, server administration, server implementation & configuration, Tableau performance management, server maintenance, and cloud migrations. This role includes tasks like working with both the IT and Business owners of the Tableau to support the scalable deployment of their Tableau environment. He/She would also design the set-up and security of the Tableau deployment and dashboards made using Tableau software. The Architect will work independently with the client to understand the requirements, suggest solutions, analyze performance issues and recommend optimization for better performance.
Apart from being an advisor in technical Tableau server architecture and administration, the architect should be able to understand the business requirements of the client and implement best in class visual analytics for customers.
In This Role, You Will
Guide customers on Tableau Server Architecture and Administration best practices
Guide customers through the planning and execution of Tableau migrations, including but not limited to, Server to Server migrations and On Premise to Cloud Migrations
Optimize performance in Tableau server environments, including optimizing user queries and dashboard performance, building scalable architectures and developing efficient data sources
Support customers to plan, implement, configure and deploy Tableau server environments both on premise and in cloud environments (e.g., AWS, Azure, GCP)
Support customers in advanced Tableau server administration in both Linux and Windows environments
Support customers in implementing authentication for their server environment, including SSO and advanced permissioning
Lead customer in detailed server health checks of their server environment, including architecture, site governance, authentication and performance
Lead customers in planning and executing Tableau Server upgrades
Know how to leverage Advanced Management and other server monitoring tools / application logs to identify root cause of Tableau server issues to be resolved
Leverage Tableau APIs and extensibility, specifically with embedded use cases, rest API functionality and custom data connections
Help customers implement Tableau Data Management Add On leveraging data engineering principles and best practices
Design impactful, attractive, compelling solutions using Tableau and associated platforms.
Assist in design of data transformation processes, including dataflows and datasets, as well as create dashboard wireframes and stories describing their function.
Understand the impact of existing system architecture, dataflows, and network constraints and how it impacts solution delivery.
Conduct research and make recommendations on specific product components, services, protocols, and standards in support of design efforts as needed
Prepare data for visualization (e.g., data profiling, data cleansing, volume assessment and partitioning,
