Demo

Data Architect

ICONMA
Dearborn, MI Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 3/12/2025
Location: Dearborn, MI/Hybrid

Duration: 12 Months

Description:

The position requires a strong architect with comprehensive knowledge of data architecture, hands on experience in data model design, data quality analysis and good understanding of data analytics architecture. As Information / Data Architects, the candidate will work with enterprise architects, solution architects, business, and product teams to create strategy, design data models, information flows, perform data quality analysis, set standards, best practices, and guide product teams in implementation of the design.

Skills Required:

Lead design discussions, create conceptual data models, logical data models and data dictionaries.

Manage and maintain data models

Define reporting strategy and identify sources for reporting data.

Perform data quality analysis, identify issues, and propose solution to resolve them.

Guide product teams to create physical data model design and data dictionary.

Data modeling in a enterprise tool such as Power Designer or ERWIN

Capable to work well individually and as a team member

Experience Required:

7 years Data Modeling experience with expertise in Relational and/or Dimensional Analysis

5 years in experience in Data Warehouse database design

Have a deep understanding of data modeling principles and architecture concepts.

Extensive experience designing databases supporting complex business process.

Experience in supporting database technologies - Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, GCP Big Query

Knowledge of Data Analytics, Google Cloud Technologies

Experience Preferred:

GCP Big Query, Master Data Management

Education Required:

Bachelor’s degree

Education Preferred:

Prefer certification GCP or other Data Architecture related certifications

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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