Data Architekt/Modeler

At speedapp, we are a team of IT experts and other professionals working for clients worldwide including Israel, Austria, and the USA. We have 10 years of experience, serve over 100 clients worldwide, and make over 300 hires per year. We have won the "Forbes Diamonds" award four times (2022-2025) and are members of the European Fast Growth Icons network and FinTech Poland. We are ranked 18th among the 100 fastest growing companies in 2023 by Clutch.

• Proven experience as a Data Architect or Data Modeler
• Strong expertise in data modeling (conceptual, logical, physical)
• Hands-on experience with:
  • Databricks
  • ERwin Data Modeler
  • Data catalog tools such as Atlan, Alation, Unity Catalog
• Experience working with data architecture artifacts (STTM, data flows, inventories)
• Experience working with Data Lakehouse
• Strong analytical skills and attention to data quality

Soft Skills:

• Highly organized with strong attention to detail
• Proactive, self-driven mindset
• Excellent communication skills with the ability to engage clients and stakeholders

Nice to have:

• Experience in product backlog management (Jira, Azure DevOps)
• Background as a Data Analyst or Business Analyst
• Experience with ServiceNow, Unity Catalog

What You’ll Work On:

• ESG data architecture redesign and migration initiatives
• Enterprise data transformation supporting People Services and global operations
• Building scalable, governed, and high-quality data ecosystems

Data Architecture & Modeling:

• Design and maintain conceptual, logical, and physical data models aligned with business requirements
• Continuously improve and adapt data models based on changing business and regulatory needs
• Develop and manage documentation supporting models
• Perform business and data analysis to indicate data sources and to validate correctness and usability of datasets
• Recommend best Data Governance practices and solutions

Data Asset Management:

• Own and maintain key data architecture artifacts:
  • Source-to-Target Mapping (STTM)
  • Data Inventory
  • Data Models
  • Data Flow diagrams
• Ensure consistency, traceability, and governance across data assets

Stakeholder Collaboration:

• Participate in business requirements gathering sessions
• Identify critical data elements required for project implementation
• Communicate effectively with business and technical stakeholders

Implementation & Delivery:

• Collaborate with data engineers to deploy data assets into production
• Support data migration and architecture redesign initiatives
• Manage versioning and lifecycle of data models

Project Support:

• Contribute to backlog management and prioritization activities
• Support agile delivery processes and continuous improvement