Architect -Data Modeler
Summary
Design and maintain scalable data models using dimensional modeling, normalization, and Medallion Architecture; work with PySpark, Databricks, ASQL, SQL for data ingestion and engineering; lead data modeling and engineering teams.
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.
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.
Benefits
Visit us:
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