Role : GCP Data Modeler
(BigQuery, Retail Domain)
Location – 100% REMOTE
Visa – Open
Interview – Virtual (2 rounds)
Enterprise Data Platform
(GCP, BigQuery, Retail Domain)
Job Summary: We are seeking an experienced Data Modeler to
support the Enterprise Data Platform (EDP) initiative, focusing on building,
and optimizing curated data assets on Google BigQuery. This role requires
expertise in data modeling, strong knowledge of retail data, and an ability to
collaborate with data engineers, business analysts, and architects to create
scalable and high-performing data structures.
Key Responsibilities:
1. Data Modeling & Curated Layer Design
- Design
logical, conceptual, and physical data models for EDP’s curated layer in
BigQuery.
- Develop
fact and dimension tables, ensuring adherence to dimensional modeling best
practices (Kimball methodology).
- Optimize
data models for performance, scalability, and query efficiency in a
cloud-native environment.
- Work
closely with data engineers to translate models into efficient BigQuery
implementations (partitioning, clustering, materialized views).
2. Data Standardization & Governance
- Define
and maintain data definitions, relationships, and business rules for
curated assets.
- Ensure
data integrity, consistency, and governance across datasets.
- Work
with Data Governance teams to align models with enterprise data standards
and metadata management policies.
3. Collaboration with Business & Technical Teams
- Engage
with business analysts and product teams to understand data needs,
ensuring models align with business requirements.
- Partner
with data engineers and architects to implement best practices for data
ingestion and transformation.
- Support
BI & analytics teams by ensuring curated models are optimized for
downstream consumption (e.g., Looker, Tableau, Power BI, AI/ML models,
APIs).
Required Qualifications:
- 5+
years of experience in data modeling and architecture in cloud data
platforms (BigQuery preferred).
- Expertise
in dimensional modeling (Kimball), data vault, and
normalization/denormalization techniques.
- Strong
SQL skills, with hands-on experience in BigQuery performance tuning
(partitioning, clustering, query optimization).
- Understanding
of retail data models (e.g., sales, inventory, pricing, supply chain,
customer analytics).
- Experience
working with data engineering teams to implement models in ETL/ELT
pipelines.
- Familiarity
with data governance, metadata management, and data cataloging.
- Excellent
communication skills and ability to translate business needs into
structured data models.
Preferred Qualifications:
- Prior
experience working in retail or e-commerce data environments.
- Exposure
to modern data architectures (data lakehouse, event-driven data
processing).
- Familiarity
with GCP ecosystem (Dataflow, Pub/Sub, Cloud Storage) and BigQuery
security best practices.
Regards,
Alok Singh| 1Point
System LLC
Technical
Recruiter
• Email: alok....@1pointsys.com
• Fax: 803-832-7973 • www.1pointsys.com
115 Stone Village Drive • Suite C • Fort Mill,
SC • 29708
LinkedIn : linkedin.com/in/alok-singh-8900bb210

An E-Verified company | An Equal Opportunity Employer