Tableau Enterprise Expert

Innowise is one of the most experienced Belarusian companies in full-cycle software development, implementation, and support, as well as business analysis, design, testing, and project management. The company was founded in 2007. Over 18+ years, we have successfully delivered more than 1300 projects across various industries for clients from the USA, Canada, the United Kingdom, Germany, France, Italy, Japan, and other countries.

We operate in more than 20 business domains, including solutions based on Artificial Intelligence, Machine Learning, Augmented & Virtual Reality.

Today, Innowise brings together over 2600 employees across offices in Belarus, Poland, Lithuania, Georgia, and Germany. The company continues to grow and welcomes both experienced professionals and young specialists to join our team.
At Innowise, we value our people and understand that success is the result of collective effort. Together, we make the world more convenient and advanced, transforming digital reality and ideas into ready-to-use solutions. Join Innowise and help us make the world a better place!

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Requirements:

Practical experience in the following technologies and areas:

• Deep expertise in Tableau Platform: extensive, validated experience as a Tableau Architect or Senior Administrator with in-depth knowledge of Tableau Server, Tableau Cloud, and their internal architecture, including licensing, resource management, security, and scalability;
• Tableau APIs: practical experience using REST API and Metadata API for advanced monitoring, automation, user management, and governance;
• Enterprise integration: proven experience integrating Tableau Catalog with external data and metadata management tools (e.g., Informatica EDC or similar);
• Tableau Tools: expert proficiency in Tableau Desktop, Tableau Prep, and Tableau Catalog;
• Performance tuning: ability to quickly identify bottlenecks and a strong track record of advanced optimization at the infrastructure level of Tableau Server and individual content;
• Data modeling for BI: solid understanding of data modeling concepts (Star Schema, Snowflake Schema, Data Vault) and their application in designing efficient BI data sources;
• SQL: strong SQL skills, including window functions, joins, indexes, views, and query optimization for efficient data processing;
• Python/Scripting: hands-on experience with Python or other scripting languages to support platform automation and integration tasks;
• Stakeholder communications: ability to effectively convey technical conclusions and management requirements to Technical teams and non-technical stakeholders.

What you will be doing:

• Design and manage the Tableau Ecosystem: architecture and support for Tableau Server and Tableau Cloud, focusing on resilience, scalability, and optimal resource management;
• Infrastructure management and automation: lead end-to-end backend work (about 80% of the role) related to the Tableau platform, using REST API and Metadata API for automation, governance, resources, and deep insights;
• Enterprise integration: implement and manage critical integration between Tableau Catalog and external tools, especially Informatica Enterprise Data Catalog (EDC), to form a consistent and certified semantic data layer;
• Performance and efficiency: proactively identify and remediate systemic inefficiencies. deep tuning of server processes, data extracts, connectors, and individual workbooks to significantly improve speed and user experience;
• Semantic layer and governance: design, build, and validate a foundational semantic layer, including developing standard templates, best practices for dashboards, and ensuring data integrity across the platform;
• Self-service and Enablement: promote data democratization through sustainable governance, run training programs for Creator and Explorer users, and define content creation standards;
• Exploration and integration of advanced features, such as TabPy for statistical computations, and contributions to GenBI (generative AI) initiatives and the rollout of Tableau Pulse and the conversational assistant;
• Data preparation and modeling: design robust data preparation pipelines using Tableau Prep and apply advanced data modeling techniques for BI solutions;
• Technical leadership: act as an internal SME for everything Tableau-related, collaborate with leadership to define the technical roadmap, and ensure platform compliance with enterprise requirements;
• Frontend development: contribute to the development of core, high-priority dashboards and reports (about 20% of the role) in line with established UX and design.

It would be good to know:

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of cloud analytics platforms (AWS, Azure, GCP), especially in relation to Tableau Cloud or on-prem deployments.
• Experience with TabPy or other integrations of external services.
• Previous experience as a technical lead, including mentoring junior developers and promoting BI standards.
• Familiarity with development, support, and optimization of ETL/ELT pipelines.
• Knowledge of basic statistical concepts and experience in defining key metrics.
• Experience with version control using Git.
• Familiarity with architectural requirements for connecting Tableau to GenAI (Generative AI) capabilities.

Additional benefits:

• Voluntary health insurance; Discounts at partner companies (from pizzerias and bookstores to home appliance stores).

If you're looking for real opportunities to realize your potential and manage your professional and career growth, we'd love to see you on our friendly team!

The creation of the workplace is planned for the longer term.