More jobs:
BFSI Toad Data Modeler - Big Data, Data Vault .0 & Cloud Data Warehouse
Job in
Las Vegas, Clark County, Nevada, 89105, USA
Listed on 2026-07-06
Listing for:
MDAEdge
Full Time
position Listed on 2026-07-06
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Overview
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
.
- 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.
- Experience in the Financial Services domain
.
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