Pursue Purpose
Job in
Las Vegas, Clark County, Nevada, 89101, USA
Listed on 2026-07-01
Listing for:
MDA Edge
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Data Security
Job Description & How to Apply Below
Senior Data Modeler
We are seeking a highly experienced and motivated Senior Data Modeler from Financial Services Domain with over 7 years of expertise in data modeling and data analysis. The ideal candidate should possess strong communication and leadership skills, along with hands-on experience in Big Data, cloud data warehouses, and modern data architecture concepts.
Key Responsibilities:
- Lead and contribute to complex data modeling initiatives (100+ entities/tables) across both on-premises and cloud environments.
- Design and develop data models using Data Vault 2.0, star, and snowflake schemas for cloud platforms and big data ecosystems.
- Collaborate with cross-functional teams including product managers, developers, DBAs, business stakeholders, and data governance teams to gather requirements and deliver scalable solutions.
- Implement data warehouse design methodologies including Bill Inmon and Ralph Kimball approaches.
- Analyze and model data from various big data sources and tools such as Hive, S3, Trino, and HUE.
- Utilize data modeling tools like Erwin, ER/Studio, or Toad Data Modeler to design normalized, denormalized, relational, and dimensional models.
- Apply best practices in Data Warehousing, Data Profiling, Data Quality, Master Data Management (MDM), Data Lineage, Data Mapping, Data Dictionary, and Data Governance.
- Provide thought leadership in emerging architecture patterns such as Data Lakehouse.
Required Qualifications:
- 7+ years of experience in data modeling and data analysis.
- 4–7 years of hands-on experience with Big Data and Hadoop ecosystems.
- Strong expertise in cloud data warehouse platforms, especially Snowflake.
- Proven experience in Data Vault 2.0 modeling methodology.
- Solid knowledge of big data tools and platforms (e.g., Hive, S3, Trino).
- Deep understanding of both on-prem and cloud-based data architectures.
- Extensive experience with relational databases such as Oracle, SQL Server, DB2, and Redshift.
- Excellent collaboration and communication skills; experience working in cross-functional and agile environments.
Preferred:
- Experience in the Financial Services domain.
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