Data Modeling Architect

Overview

Wissen Technology is Hiring for Data Modeling Architect

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

Job Summary: Wissen Technology is hiring an experienced Data Modeling Architect to design, build, and optimize data models specifically for the Databricks environment. The ideal candidate will have strong hands-on experience in Databricks and proven expertise in creating scalable, efficient, and high-performance data models tailored for Databricks-based architectures. Knowledge of Financial Risk or Operational Risk frameworks used in global banking environments is highly desirable.

Experience: 10 to 13 Years

Location: Bengaluru (Hybrid)

Mode of Work: Full time

Key Responsibilities:

• Design and implement scalable, efficient, and high-performance data models for Databricks-based environments.
  
• Collaborate with cross-functional teams to translate business requirements into robust data models.
  
• Optimize data models for performance and scalability in Databricks.
  
• Work with Delta Lake, Unity Catalog, and other Databricks components.
  
• Ensure data integrity and consistency across models.
  
• Support data validation, profiling, and modeling workflows using Python.
  
• Provide guidance on best practices for data modeling in cloud-based environments.
  
• Incorporate risk-related data structures (Credit Risk, Market Risk, Liquidity Risk, RCSA, Loss Events, KRI, etc.) into models.
  
  

Requirements:

• Proven experience as a Data Modeler with strong understanding of data modeling concepts.
  
• Hands-on experience in Databricks and modeling for Databricks-based environments (mandatory).
  
• Strong knowledge of dimensional, relational, and conceptual modeling.
  
• Proficiency in Python for data validation and workflow support.
  
• Strong SQL skills and familiarity with data warehousing concepts.
  
• Experience with Delta Lake, Unity Catalog, or similar Databricks components.
  
• Ability to collaborate effectively with cross-functional teams.
  
• Working knowledge of Financial Risk, Operational Risk, or regulatory risk data.
  
• Strong analytical and problem-solving skills.
  
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  
  

Good To Have Sk ills:

• Experience in global banking environments.
  
• Familiarity with advanced Databricks features and performance tuning.
  
• Exposure to big data technologies and cloud platforms.
  
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/