Ghaith Albaaj — CEO

Most enterprise data migrations are scoped as technology projects. The ones that fail do so because no one designed the operating model around the architecture. That is the problem I solve. I design and deliver governed cloud data platforms for regulated industries including banking, insurance, healthcare, manufacturing, and the public sector. Governance, cost control, and auditability are built into the architecture from the beginning, not added after delivery. My platform of deepest expertise is Snowflake. My evaluation scope covers the full data platform landscape. Recognized as a Snowflake Data Superhero 2026, a community designation awarded to fewer than 150 practitioners globally, I bring the technical depth required to review architectures with senior engineers and the independence to advise CTOs when another platform is the better decision. My work focuses on: → Platform selection and architecture trade off analysis across Snowflake, Databricks, Fabric, and legacy data warehouses → Enterprise migrations from SAS, Oracle DWH, SQL Server, and Databricks into modern governed data platforms → AI ready architectures using Cortex AI, Snowpark, and Data Vault 2.0 → Data mesh, enterprise governance frameworks, and GDPR and GxP compliant data platforms → Workload Identity Federation, security architecture, and cost governance models → RfP support and architecture design for enterprise platform modernization programs I operate primarily in the DACH region and collaborate with global enterprise teams that require regulated industry delivery standards. My LinkedIn content reaches more than 300,000 impressions per month from practitioners, architects, and enterprise decision makers who engage with real architecture decisions, migration lessons, and platform trade offs. Open for conversations about: → Platform selection advisory and independent architecture reviews → Enterprise cloud data platform strategy and regulated industry migration programs → Speaking engagements, technical workshops, and community contributions

Stackforce AI infers this person is a Cloud Data Platform Architect specializing in regulated industries like Healthcare and Finance.

Location: Frankfurt, Germany

Experience: 3 yrs 5 mos

Skills

Data Architecture
Cloud Data Platforms
Data Integration
Data Warehouse Development

Career Highlights

Recognized as Snowflake Data Superhero 2026.
Expert in designing governed cloud data platforms.
Extensive experience in enterprise data migrations.

Work Experience

CBTW

Snowflake Architect & Data Platform Advisor (9 mos)

cimt ag

IT Consultant - Data Engineer (2 yrs 8 mos)

Education

Master of Computer Applications - MCA at Hochschule Fulda

Bachelor of Information and Telecommunications Engineering at Mamoun University for Science and Technology (MUST)

Ghaith Albaaj

CEO

Frankfurt, Germany3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Recognized as Snowflake Data Superhero 2026.
Expert in designing governed cloud data platforms.
Extensive experience in enterprise data migrations.

Stackforce AI infers this person is a Cloud Data Platform Architect specializing in regulated industries like Healthcare and Finance.

Contact

Skills

Core Skills

Data ArchitectureCloud Data PlatformsData IntegrationData Warehouse Development

Other Skills

GDPR complianceGxP complianceData Vault 2.0Workload Identity FederationSnowparkCortex AISQL Server Analysis Services (SSAS)Enterprise Resource Planning (ERP)ETLELTTalendPythonSnowflakeDatabricksAnthropic Claude

About

Experience

Cbtw

Snowflake Architect & Data Platform Advisor

Jun 2025 – Present · 9 mos

I lead the architecture and delivery of governed enterprise data platforms across regulated environments in the DACH region. Primary sectors include healthcare, insurance, and manufacturing.
Platform of deepest expertise is Snowflake. Advisory scope covers the full data platform landscape.
Key delivery areas:
→ Platform Architecture and Migration
Design and deliver enterprise data platform architectures that modernize legacy environments such as SAS, Oracle data warehouses, Databricks workloads, and SQL Server analytics systems. Implement architectures using Data Vault 2.0, Medallion design patterns, and data mesh operating models.
Support modernization programs from architecture assessment through delivery planning, including migration strategies for legacy analytics and reporting platforms.
→ Regulated Industry Governance
Design governed cloud data platforms for organizations operating under strict regulatory requirements. Architect solutions that integrate GDPR and GxP compliance, lineage frameworks, access governance, and cost control from the start of platform design.
Develop operating models that allow regulated enterprises to run modern analytics while maintaining auditability and regulatory alignment.
→ AI Ready Platform Design
Architect analytics platforms that enable advanced data products and AI workloads. Implement solutions using Snowpark, Cortex AI capabilities, and secure identity frameworks such as Workload Identity Federation.
→ Enterprise Advisory and Platform Evaluation
Advise CTO, CDO, and IT leadership on enterprise data platform strategy and technology selection. Conduct architecture workshops and platform evaluations comparing Snowflake, Databricks, Microsoft Fabric, and legacy data warehouse solutions.
Lead technical architecture contributions for enterprise RfPs and modernization programs, including solution design, migration roadmaps, governance frameworks, and cost architecture models.

Data ArchitectureCloud Data Platforms

Cimt ag

IT Consultant - Data Engineer

Oct 2022 – Jun 2025 · 2 yrs 8 mos · Frankfurt

Data engineering and analytics consulting for mid market and enterprise clients in the Frankfurt region, focused on enterprise data integration, analytics infrastructure, and the modernization of legacy data platforms.
Key delivery areas:
→ Data Integration and ETL Architecture
Analyze, design and implement ETL and ELT pipelines integrating heterogeneous enterprise data sources. Build and maintain data pipelines using Talend, Python, and SQL to support operational reporting and analytical workloads.
→ Enterprise Data Warehouse Development
Design and implement data warehouse architectures based on the Data Vault 2.0 methodology. Build scalable data models and integrate ERP source systems such as SAP and other enterprise platforms for structured analytics and reporting.
→ Data Platform Modernization
Support migration and harmonization of legacy analytics environments toward modern cloud based data platforms. Contribute to the introduction of Snowflake as a target architecture for cloud native analytics and future platform modernization.
→ Analytics and BI Solutions
Develop BI solutions, dashboards, and OLAP models using SQL Server and SSAS to support enterprise reporting and decision making.
→ Data Processing and Platform Optimization
Implement real time and batch data processing pipelines and optimize existing data workflows to improve reliability, performance, and operational efficiency.
Platforms and technologies: Snowflake, Talend, SQL Server, SSAS, Python, Kafka, Denodo, Databricks, Data Vault 2.0