BI Solution Architect - Agentic Analytics
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 21, 2026.
GoodData’s Professional Services team works with our customers to build BI solutions using the GoodData platform; build and customize analytical / reporting products to implement into client's internal systems. Our team is obsessed with guiding our customers to achieve value with our products in the shortest time possible. We play a critical role in managing the technical ins-and-outs of the implementation, as well as helping our customers realize the powerful business uses of our tools.
Our team
As a team, our leadership philosophy is to give team members autonomy in delivering high-quality work to our customers, while providing guidance and support where needed. Team members are expected to be passionate about expanding their expertise with technology, and continually growing their knowledge of the GoodData platform and related technologies. Additionally, team members will have the opportunity to gain experience working with international teams and customers. To help passionate professionals accelerate the growth of their skills and careers, our team fosters a culture of mentorship and training.
As a key member of our implementation team, you will be the person that guides our customers through their custom solution development and lead GoodData's technical resources. You will work directly with customers to understand the requirements and translate them into logical data models, ETL designs, dashboards, and general consulting the customers.
What will you do
Design and implement BI and AI-powered analytics solutions on the GoodData platform, integrating LLMs and custom AI workflows to enhance data access and analysis.
Lead the technical aspects of the solution design, manage and coordinate the other members of the GoodData team across consulting, product, sales, support, and training.
Interface directly with customers during project implementations, and develop a trusted advisor relationship with customers.
Possess a comprehensive understanding of the GoodData products and services.
Contribute to the development of the GoodData Consulting team by mentoring other colleagues, extending our knowledge base, and improving the GoodData implementation methodologies.
Communicating with customers from the US market.
About you
Proven experience building scalable BI solutions.
Strong technical skills with the ability to rapidly learn technical skills relevant to GoodData implementations.
IT consulting skills and experience, ability to set and manage customer expectations, and to negotiate appropriate resolutions to issues.
Practical experience integrating AI capabilities into analytics solutions using LLM APIs, prompt design, or structured outputs..
Experience with relational/dimensional data modeling.
Very good knowledge of SQL, and ability to design data pipelines (ETL processes).
Hands-on experience with AWS data architecture, including S3, Iceberg, Glue, Athena etc.
Self-directed with the ability to work simultaneous engagements with minimal supervision.
Fluent in written and spoken English.
It is nice if you have
Advanced knowledge of SQL and SQL query tuning and optimization.
Experience with leading BI engineers and analysts.
Experience with ETL tools and Data Warehousing techniques.
Knowledge of scripting languages (Ruby, Python, or other).
Knowledge of Web Services, REST.
Experience with RAG patterns, vector databases, AI agents, or LLM evaluation pipelines.
Project Management skills.
About GoodData.AI
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact - from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.