Data Architect / Team Lead

Promise Group is a leading Microsoft partner in the CEE region, operating since 1991. It specializes in software licensing optimization, IT systems design, implementation, maintenance, and business application development, serving various sectors including finance, telecommunications, media, energy, manufacturing, trade, services, public administration, education, and healthcare.

• Strong hands-on experience with Microsoft Fabric and Data & Analytics architecture.
• Strong knowledge of Lakehouse and Data Warehouse architecture and design.
• Advanced SQL skills and practical experience with ETL/ELT.
• Skills in Python or PySpark sufficient to understand, review, and troubleshoot engineering solutions.
• Experience with Power BI.
• Experience integrating data from various databases, files, and APIs.
• Good understanding of dimensional modelling, Bronze/Silver/Gold architecture, ingestion patterns.
• Knowledge of Azure access best practices, Workspace governance, and CI/CD with Azure DevOps.
• Ability to define performance engineering strategies covering data ingestion, transformation, storage, SQL queries, Spark workloads, semantic models, and reporting.
• Experience leading technical workshops and working directly with customers.
• Experience leading, mentoring, or managing technical people; enjoys developing others.
• Ability to prepare estimates, define assumptions and scope boundaries, and communicate technical risks clearly.
• Ability to simplify complex problems without losing important dependencies.
• Excellent communication skills in Polish and English.

Nice to have:

• Experience with Fabric Data Agent, Azure AI Foundry, Azure AI Search, or RAG solutions.
• Knowledge of Microsoft Purview, Data Governance, and regulatory requirements.
• Experience with sovereign cloud and data solutions.
• Previous experience in presales and preparing proposals funded through Microsoft programs.
• Experience working with enterprise customers or the public sector.
• Microsoft certifications such as DP-700, DP-600, PL-300, AI-103, AZ-104, AZ-305.

Shape Data architecture:

• Design modern Data architectures based on Microsoft Fabric, Azure, and hybrid/on-premises environments.
• Design Lakehouse and Data Warehouse platforms, data integration solutions, semantic models, security, governance, and CI/CD processes.
• Lead technical discovery, architectural workshops, and current-state assessments with customers.
• Prepare HLDs, technical designs, roadmaps, Statements of Work (SoW), estimates, and technology recommendations.
• Make architectural decisions ensuring solutions are scalable, secure, maintainable, and aligned with business needs.

Lead and develop the Data Engineering team:

• Lead a team of Data Engineers (5 people), providing technical direction, support, and day-to-day leadership.
• Conduct regular 1:1 meetings, provide feedback, set expectations, and support employees in achieving their goals.
• Coach engineers and support their professional and technical development.
• Identify development opportunities, skill gaps, and future competency needs within the team.
• Support recruitment, onboarding, and team building.
• Promote knowledge sharing, collaboration, and a culture of continuous learning.
• Define and develop engineering standards, best practices, and ways of working.

Work closely with customers and the business:

• Act as a trusted technical partner for customers, translating business challenges into effective technology solutions.
• Collaborate with Solution Sales, Project Managers, and delivery teams from presales through project delivery.
• Support presales activities including technical discovery, solution design, estimation, presentations, and customer workshops.
• Prepare and deliver technical presentations, webinars, workshops, and training sessions.
• Clearly communicate assumptions, scope boundaries, technical risks, and recommendations to both technical and non-technical stakeholders.
• Build long-term relationships with customers and help identify opportunities to further develop Data & AI services.

Ensure technical quality:

• Provide technical oversight throughout projects, including design reviews, code reviews, quality assurance, troubleshooting, and risk management.
• Challenge solutions when needed and make “stop” decisions if approaches do not meet required quality or business criteria.
• Support engineers in solving complex technical problems.
• Ensure knowledge and best practices are shared across the team and projects.
• Stay up to date with the Microsoft Data & AI ecosystem and emerging technologies.