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Salary
$129k – $151k per year
Location
Remote (Poland)
Seniority
Architect · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
DataArt Poland is the Polish operational arm of DataArt, a global software engineering firm that builds custom enterprise software, cloud-native platforms, and data-driven solutions. Operating through development hubs across Polish cities - including Warsaw, Kraków, Wrocław, Lublin, and Łódź - the firm provides end-to-end technology services, including modern UI/UX engineering, AI/ML integration, cybersecurity, and cloud transformation.

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 (e.g., Microsoft Copilot in Power BI/Fabric, Tableau Pulse/Agent), and 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 be able to articulate the governance story to client stakeholders

  • Collaborate with data engineers on data warehouses, ETL pipelines, and cloud platforms (AWS, Azure, 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 (director level and above), with specific engagements and outcomes you can walk us through

  • Direct, hands-on participation in pre-sales: deals you helped shape, POCs you presented, RFP sections you 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 (dashboard development, semantic/data modeling, DAX, 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 data governance in a BI context: 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 (e.g., Snowflake, Databricks, Microsoft Fabric, AWS Redshift, BigQuery)

  • Familiarity with other BI tools such as Qlik or Looker

  • Knowledge of Python or R for data analysis

  • Hands-on experience with AI/GenAI in analytics: Microsoft Copilot and AI capabilities in Fabric, Tableau Pulse/Agent, natural-language Q&A, or building LLM-assisted analytics prototypes

  • Familiarity with governance and cataloging tooling (e.g., Microsoft Purview, Unity Catalog, Collibra, Alation)

  • Understanding of responsible-AI and data privacy considerations in client-facing analytics solutions

  • Experience in outsourcing or nearshore delivery environments

What We Offer:

  • Vacation days: Up to 26 business days per year.

  • 10 illness/special days

    off per year (fully paid, no medical papers needed) for all contract types

  • Health and life insurance (Luxmed)

  • MyBenefit platform with Multisport option

  • Internal psychological support service

  • English language classes from the first working day

  • Access to external learning platforms: O'Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

  • Flexible workplace: work from the office, from home, or choose a hybrid option

  • Tech Skills Mentoring Program

  • Opportunities to develop as a public speaker, mentor, or technical interviewer

  • Fully paid idle (bench) when not involved in a project

  • Certification reimbursement (AWS, GCP, Microsoft, etc.)

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