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Form of workJob Description
We are looking for a passionate and highly motivated Data Modeler to work with our Data Platform Team The Data Modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
The successful candidate will:
1. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
2. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
1. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
2. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Key Responsibilities:
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Required Qualifications & Skills:
- Bachelor's degree in computer/technical or related experience.
- 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
- Experience in team management, communication, and presentation.
Additional Qualifications:
- Experience with Automobile and/or Manufacturing organizations.
Benefits:
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
- The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities:
- Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
- Contribute to OrangePeople technical discussions, peer reviews, etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education. An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation.
