BI Solution Architect (Tableau/ Power BI)

Project Overview

We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Position Overview

We are looking for a client-facing BI Solution Architect to represent our Data & Analytics practice with clients and prospects—leading discovery sessions with senior stakeholders, shaping deals in pre-sales, and designing scalable, well-governed Business Intelligence and AI-augmented analytics solutions that win engagements and deliver results.

In this role, consultative and communication skills are as essential as technical depth: you will be the person we put in front of decision-makers, backed by genuine hands-on expertise in Power BI, Tableau, semantic modeling, and modern AI-enabled analytics.

Responsibilities

• Own the technical side of pre-sales: lead discovery and scoping sessions with senior leaders and executive stakeholders, qualify opportunities, and shape solutions and estimations.
• Prepare and deliver demos, POCs, and client presentations that convert prospects into engagements.
• Contribute technical expertise to RFP/RFI responses.
• Act as a trusted advisor to client leadership on BI strategy, tooling decisions, and analytics roadmaps.
• Identify and develop upsell and expansion opportunities within existing accounts.
• Tailor messaging and presentations to both executive and technical audiences.
• Translate business requirements into scalable BI architectures and technical solutions.
• Design and prototype interactive dashboards, reports, and semantic models/data models in Power BI and Tableau, guiding delivery teams through build-out.
• Architect reusable, certified semantic layers that serve as a single source of truth for reporting, self-service analytics, and AI-driven consumption.
• Advise clients on adopting AI-augmented analytics: natural-language querying, AI-assisted insights, and copilot-style experiences, such as Microsoft Copilot in Power BI/Fabric and Tableau Pulse/Agent; incorporate them into demos, POCs, and solution proposals.
• Define and implement BI governance: dataset certification, access and security models, naming and documentation standards, and data quality controls across reporting layers.
• Ensure BI and AI solutions meet data accuracy, consistency, privacy, and responsible-AI expectations, and articulate the governance approach to client stakeholders.
• Collaborate with data engineers on data warehouses, ETL pipelines, and cloud platforms including AWS, Azure, and GCP.
• Lead requirements gathering and prioritization across all organizational levels.
• Align BI solutions with business goals and analytical needs.

Requirements

• 5+ years of experience in Business Intelligence, analytics consulting, or solution architecture.
• Proven client-facing track record leading discovery or scoping sessions with senior business stakeholders at director level and above, with specific engagements and outcomes.
• Direct, hands-on participation in pre-sales, including deals shaped, POCs presented, and RFP sections owned.
• Demonstrated ability to present and adapt the same solution to executive, business, and technical audiences.
• Experience in consulting, professional services, or vendor pre-sales environments.
• Strong hands-on expertise with Tableau and Power BI, including dashboard development, semantic/data modeling, DAX, and performance optimization.
• Proven experience designing and governing semantic models or metrics layers used across teams, not only single-report datasets.
• Solid knowledge of SQL and experience with relational databases.
• Practical experience with data warehousing concepts and ETL processes.
• Working understanding of BI data governance, including certification, security models, lineage, and data quality, and the ability to explain it convincingly to non-technical stakeholders.

Nice to Have

• Experience with cloud data platforms, such as Snowflake, Databricks, Microsoft Fabric, AWS Redshift, and BigQuery.
• Familiarity with Qlik or Looker.
• Knowledge of Python or R for data analysis.
• Hands-on experience with AI/GenAI in analytics, including Microsoft Copilot, AI capabilities in Fabric, Tableau Pulse/Agent, natural-language Q&A, or LLM-assisted analytics prototypes.
• Familiarity with governance and cataloging tools, such as Microsoft Purview, Unity Catalog, Collibra, and Alation.
• Understanding of responsible AI and data privacy considerations in client-facing analytics solutions.
• Experience in outsourcing or nearshore delivery environments.

What We Offer

• Up to 26 business vacation days per year.
• 10 fully paid illness/special days off per year for all contract types, with no medical papers required.
• Health and life insurance (Luxmed).
• MyBenefit platform with a Multisport option.
• Internal psychological support service.
• English language classes from the first working day.
• Access to O’Reilly, LinkedIn Learning, Udemy, and a wide range of internal training.
• Flexible workplace options: office, home, or hybrid.
• Tech Skills Mentoring Program.
• Opportunities to develop as a public speaker, mentor, or technical interviewer.
• Fully paid bench time when not involved in a project.
• Certification reimbursement for AWS, GCP, Microsoft, and other certifications.