Data Modeler / Data Architecture Consultant (Manager/Consultant)

Quick Facts

• Role: Data Modeler / Data Architecture Consultant (Manager/Consultant)
• Focus: Data architecture, data modeling, data warehousing, and governance

Description

As a Data Modeler/Designer, you will shape the organization’s data architecture strategy by designing scalable, efficient, and secure data models. You will collaborate with stakeholders and cross-functional teams to integrate diverse data sources, define robust data structures, and support analytics and reporting. You will also evaluate storage and processing technologies in cloud environments and ensure governance, privacy, and regulatory compliance.

Responsibilities

• Collaborate with stakeholders to build data architecture strategies aligned with business goals.
• Define robust data models and structures with data engineers, data scientists, and IT teams for analytics and reporting.
• Oversee integration of diverse data sources to ensure consistency, reliability, and quality across pipelines and systems.
• Evaluate and recommend technologies for data storage, processing, and analysis with an eye on long-term scalability.
• Ensure compliance with data governance, privacy, and regulatory standards.
• Provide guidance on best practices for data architecture, performance optimization, and troubleshooting.

Requirements

• Bachelor’s or Master’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, or related).
• Strong expertise in data modeling and design (conceptual, logical, physical models) and knowledge of Kimball, Data Vault, or Inmon approaches.
• Expert knowledge of Python and SQL.
• Proven experience designing and managing data warehouses on Snowflake, Amazon Redshift, or Google BigQuery.
• Proficiency in at least one cloud platform: AWS, GCP, or Azure, leveraging its data-related services.
• English required; German is a plus.

Benefits

• Individual support from a People Lead, professional development path, and optional coaching.
• Training package: soft, technical, and language training; e-learning access; Gallup test; GenAI training; co-financing for courses; certification.
• Employee Assistance Program (legal, financial, psychological consultations).
• Employee share purchase plan with eligibility for quarterly dividends (for employees owning company shares).
• Paid employee referral program.
• Private medical care and life insurance.
• WorkSmile benefits platform access (including Multisport card).
• Company car.

Working Conditions

• Employment contract (umowa o pracę).
• HQ in Warsaw with offices in Kraków, Wrocław, Łódź, and Gdańsk.
• Hybrid work with in-person time for collaboration and learning; travel to client locations across Europe and beyond is required for short or long term.