Sr Data Modeler

Job Description: Data Modeler

Role Summary

We are seeking an experienced Data Modeler with strong expertise in designing and delivering enterprisegrade data models for cloud analytics platforms. Candidate has deep experience working in medallion architecture, cloud data warehouses (e.g., Snowflake), and has a solid background in data profiling, domain modeling, and enterprise data standards.

This role requires the ability to translate complex business requirements into scalable, highquality data structures that support analytical, operational, and reporting needs.

Key Responsibilities

Design, develop, and optimize enterprise data models (conceptual, logical, and physical) to support analytics, reporting, and downstream data products.

Build and maintain data structures aligned with medallion architecture (Bronze, Silver, Gold) within modern cloud ecosystems.

Conduct data profiling, sourcetotarget mapping, and domain modeling across multiple business domains.

Collaborate closely with data engineers, architects, and business SMEs to ensure data models meet functional and nonfunctional requirements. Define and implement data modeling best practices, naming standards, and documentation frameworks.

Partner with crossfunctional teams to ensure scalability, performance, and alignment with the enterprise data strategy.

Support architecture reviews, data quality initiatives, governance processes, and metadata enrichment activities.

Provide modeling guidance for ingestion, transformation, and consumption layers within cloud analytics platforms.

Required Qualifications

7+ years of overall experience with of Minimum 3+ years of handson experience as a Data Modeler for enterprise cloud data analytics platforms.

Strong experience with domain modeling, data profiling, and complex schema design across multiple business domains.

Deep understanding of medallion architecture and modern data lakehouse patterns.

Strong SQL skills and the ability to work with largescale datasets.

Experience collaborating with data engineering teams.

hands-on data engineering experience is a strong plus.

Excellent communication skills with the ability to work with both technical and nontechnical stakeholders.

Good To Have

Experience in commercial real estate (CRE) data domains, including property, leasing, transactions, valuations, asset management, or geospatial data. Familiarity with data governance, MDM, reference data platforms, and metadata standards. Exposure to geospatial datasets or address standardization frameworks (ESRI, GDAL, etc.) is a plus.
Skills Required
snowflake , Data Profiling, Sql, data engineering , domain modeling