What are the responsibilities and job description for the Data Modeler position at Datastrong?
Data Modeler
Location: USA, Remote
Job ID: 1185
The Data Modeler must have extensive knowledge in the areas of data modeling, cross-application data standards, data distribution standards, and tuning strategies. You should have worked in multiple projects through software development processes and built logical/physical data models leveraging the tools.
Essential Duties & Responsibilities
- Work with the business, users, lead architect, and designers to define the data requirements and structure for the application.
- Model and design the application data structures (data mart and semantic layer).
- Lead the database analysis and design.
- Work with the integration architects and designers to design the integration solution.
- Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth.
- Assist in determining the cross-application data standards, data distribution standards, and tuning strategies.
- Ensure that the developers and database administrators responsible for developing the database thoroughly understand the requirements and designs.
- Participate in quality management reviews.
Knowledge, Skills, and Abilities
- Ability to develop relational, hierarchical and dimensional data models.
- Experience conducting analysis and articulating business entities and descriptions in both functional and technical nomenclature.
- Physical and logical data modeling.
- Ability to develop or revise the database architecture per data requirements.
- Able to convert data and related techniques to acquire data needed to support testing, training, and other application development activities.
- Strong capabilities to review project deliverables for completeness, quality, and compliance with established architecture standards.
- Proficient in documenting and communicating progress against plans, taking corrective action as necessary.
- Ability to identify, clarify, and resolve issues and risks, escalating them as needed.
- Data Warehousing, Business Intelligence and OLAP strategies is a plus.
Education, Experience, & Certifications
- 8 years of experience in Data Modeling and Database Design.
- 5 years of experience using Erwin modeling tool.
- Bachelor’s degree in Engineering, Mathematics, Computer Science, Information Systems, Economics or Business, or equivalent.
ABOUT DATASTRONG
Datastrong is the foremost provider of data consulting services. Datastrong’s mission is to accelerate the adoption of data technology solutions and effectively turn data into meaningful and actionable insights to advance our customers organizational objectives.
Datastrong helps our customers by simplifying the challenge of complex data. Datastrong simplifies data complexity through the deep technical expertise of our team. Our approach is to consultatively work with clients to understand business requirements and sources of data. Once we understand the organizational needs and data sources, we help customers accelerate the adoption of innovative technologies to create competitive advantages for the organization. We leverage data to help customers improve the speed and quality of the decision-making process. More efficient decision making through data allows our customers to more effectively act and advance the organizations objectives.
Datastrong has deep technical experience implementing technology solutions including business process, data analytics, business intelligence, data warehousing, Extract, Transfer Load (ETL), data integration, software development, mobile data presentation, and data visualization.
Datastrong has over 100 customers across the Government, Education, Health Care, Financial Services, Insurance, Retail, Hospitality, Manufacturing, Bio-Pharma, and Services Industries including large Fortune 500 organizations.
To learn more about Datastrong visit www.datastrong.com or follow us on LinkedIn.
Datastrong is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity and Affirmative Action Employer, making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. If accommodation is needed in the application process, arrangements can be made with the local regional office.