Distributed Cloud l Data Visualization Practice Lead

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. We are looking for a hands-on technical leader to define, build, and scale our Data Visualization Practice. You will serve as the "Player-Coach" for the unit: defining the Go-To-Market strategy and winning new business, while simultaneously acting as the Chief Architect who defines the engineering standards for the team. You will lead the transition to code-first BI (TMDL, Git) while ensuring our solutions integrate seamlessly with any modern data platform (Fabric, Databricks, BigQuery, Snowflake, etc.). 1. Practice Strategy & Commercial Support Go-to-Market Strategy: Support the definition and execution of the practice roadmap, service offerings, and sales strategy. Pre-Sales Support & Solutioning: Partner with the PreSales and Sales teams to support technical pre-sales, design solution architectures, and scope proposals (SOWs) for clients. Team Leadership: Recruit, mentor, and lead a team of BI Architects and Analysts, fostering a culture of technical excellence. 2. Technical Architecture & Engineering Standards Modern BI Governance: Enforce the use of TMDL (Tabular Model Definition Language), Git-based version control, and CI/CD pipelines to treat BI as a software engineering discipline. Advanced Data Modeling: Enforce strict Dimensional Modeling (Kimball) standards across the team to ensure scalability and performance. Source-Agnostic Integration: Architect robust semantic models that consume data from diverse modern data platforms, including Databricks, Google BigQuery, Amazon Redshift, Snowflake, and Microsoft Fabric, that also leverages a strategy for Import vs. DirectQuery vs. Composite Models to optimize performance over non-native sources (Databricks, Snowflake, etc.) Quality Assurance: Act as the lead technical reviewer for complex DAX, data models, and code merges, ensuring "pixel-perfect" and performant delivery. Al-Augmented Development: Lead the adoption of Al tools (Copilot in Fabric/Power BI) to accelerate DAX generation and documentation, tracking efficiency gains. Visual Governance: Enforce the 'Mockup-First' methodology, ensuring no development begins without a signed-off prototype from the UX/UI team. Must-Have Technical Skills: Power BI Mastery: Expert-level capability in DAX, Power Query (M), and calculation groups. You must be able to debug the most complex performance issues. Advanced SQL: You must be fluent in writing complex SQL queries for data analysis and validation across different dialects (T-SQL, Spark SQL, BigQuery SQL, etc.). Code-First BI Experience: Hands-on experience with Tabular Editor, TMDL, and Git integration. Data Modeling: Deep expertise in Star Schema design and Kimball methodologies. Broad Data Ecosystem Knowledge: Proven experience connecting BI tools to non-Microsoft sources (e.g., Databricks Lakehouse, Google BigQuery, AWS Redshift). You understand the nuances of Direct Query vs. Import in these scenarios. Nice-to-Have Skills: Tableau: Experience designing and deploying Tableau solutions (to support agnostic client requests). Python: Ability to use Python for light data engineering or scripting. dbt: Familiarity with dbt for transformation layers. Soft Skills: Commercial Acumen: Experience in consulting pre-sales, commercial modeling, and writing proposals. Communication: Ability to translate technical complexity into clear business value for C-Level stakeholders. Success Metrics Adoption: Successful rollout of the new "Code-First" workflow (TMDL/Git) across the team. Growth: Increase in practice revenue through successful pre-sales and new client wins. Quality: Reduction in rework and increase in stakeholder satisfaction via the new "Mockup-First" governance. The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.