Architect -Data Modeler

About Us: 

Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency.  

Job Title: Architect - Data Modeler

Experience: 10 +Years   
Location: Jaipur, Udaipur, Bhopal  & Bangalore

About the Role

We are looking for an experienced Data Modeler / Data Architect with 10+ years of experience in designing scalable and business-driven data solutions. The role requires strong expertise in Dimensional Modeling, Data Normalization, Medallion Architecture, PySpark, SQL, ASQL, and Databricks, along with experience in data quality, profiling, and end-to-end data ingestion.

The ideal candidate will work closely with business and technical teams, lead data modeling initiatives, create architectural solutions, and mentor Data Modeling and Data Engineering teams.

Key Responsibilities

• Design scalable data models using Dimensional Modeling, Normalization, and Medallion Architecture.
  
• Map business processes and create business process flows and architectural diagrams.
  
• Design and support end-to-end data ingestion from source systems through Silver and Reporting layers.
  
• Work with Databricks Workspace and clusters, including access and environment requirements.
  
• Develop data engineering solutions using PySpark, ASQL, Databricks, and SQL.
  
• Perform data analysis, data profiling, and data quality assessments.
  
• Use data modeling tools to design and maintain enterprise data models.
  
• Prepare key data modeling deliverables including STTM, data models, analysis documents, and UAT test cases/results.
  
• Support data lineage and metadata management as part of data governance practices.
  
• Identify opportunities to leverage AI-driven productivity tools in data modeling and engineering activities.
  
• Lead, guide, and mentor Data Modeling and Data Engineering teams.
  
• Collaborate with business and technical stakeholders to deliver data solutions aligned with business requirements.
  

Required Skills

• 10+ years of experience in Data Modeling.
  
• Strong knowledge of Dimensional Modeling, Normalization, and Medallion Architecture.
  
• Hands-on experience with PySpark, Databricks, ASQL, and SQL.
  
• Strong data analysis, profiling, and data quality skills.
  
• Experience with at least one Data Modeling Tool.
  
• Experience in end-to-end data ingestion and reporting-layer architecture.
  
• Ability to create business process flows and architectural diagrams.
  
• Strong documentation skills, including STTM, data models, analysis documents, and UAT documentation.
  
• Knowledge of data governance, data lineage, and metadata management.
  
• Understanding of AI and AI-driven productivity tools.
  
• Strong leadership, stakeholder management, and mentoring skills.