Jobs at Amdaris (Now Hiring) — 3 open

Role Profile 

The Senior Data Consultant – Azure Data Platform is a senior, client-facing professional responsible for the design, implementation, and optimization of Modern Data Platforms on Microsoft Azure, supporting organizations in their data-driven transformation journey. 

Acting as a trusted advisor between IT and Business, this role translates business requirements into scalable, secure, and governed data solutions. The consultant operates in complex enterprise environments, contributing to both delivery and presales activities, including assessments, roadmap definition, and solution shaping. 

The role enables: 

• End-to-end Data Modernization initiatives 
• Strong data quality, security, and governance 
• Advanced analytics & AI use cases 

 

Key Responsibilities 

• Analyze business requirements and translate them into Azure-based data architectures 
• Design and implement Modern Data Platforms (Lakehouse, Data Warehouse, Streaming) 
• Develop, optimize, and maintain reliable and high-performing data pipelines 
• Collaborate with BI, AI, and Application teams on integrated solutions 
• Support workshops, assessments, PoCs, and presales activities 
• Mentor junior consultants and support team capability growth 

 

Technical Skills – Must Have 

Azure Data Platform 

• Azure Databricks 
• Microsoft Fabric (Lakehouse, Warehouse, Data Engineering) 
• Azure Data Factory / Synapse Pipelines 
• Azure Data Lake Storage Gen2 
• Azure SQL Database / SQL Managed Instance 

Data Integration & Modeling 

• Data modeling 
• ELT / ETL patterns 
• Integration from heterogeneous sources (ERP, CRM, APIs) 
• Structured and semi-structured data management 

Analytics & Business Intelligence 

• Power BI (semantic models, dataset optimization) 
• Row-Level Security (RLS) 
• Support for Self-Service BI scenarios 

Security & Performance 

• Data security, encryption 
• Monitoring, cost control, and performance tuning 

 

Consulting & Soft Skills 

• Structured problem-solving mindset 
• Strong communication with technical and business stakeholders 
• High level of autonomy and ownership 
• Ability to work in multidisciplinary teams 
• Results-oriented and customer-focused approach 

 

Seniority & Typical Context 

• 6–10+ years of experience in Data & Analytics 
• Proven experience in complex enterprise projects 
• Consulting or System Integrator background 
• Microsoft Azure certifications preferred (Data certification: Databricks, Fabric DP 700 or generic Data Platform DP 600) 

 

Nice to Have Skills 

Data Governance 

• Data Governance frameworks (DAMA-DMBOK) 
• Data Catalog & Metadata Management (e.g., Microsoft Purview) 
• Data Quality, Lineage, Ownership models 
• Regulatory and compliance awareness (GDPR, EU AI Act – conceptual level) 

Machine Learning & AI 

• Understanding of ML workflows on Azure 
• Azure Machine Learning (concepts and lifecycle) 
• Support for predictive and advanced analytics use cases 

Generative AI 

• Knowledge of LLM concepts, Prompt Engineering, RAG patterns 
• Integration of Generative AI with Data Platforms