Data Model Architect

Summary: The Data Model Architect assists with the design and implementation of company databases. As a data modeler architect, you will be working closely with platform architects, product owners and data analysts to implement data modeling solutions that streamline and support enterprise information management.

To ensure success as a data model architect, you should have in-depth knowledge of data warehousing, as well as expert communication skills. Ultimately, a top-notch data model architect should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management. Essential Functions: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.

Analyzing and translating business needs into supporting, conceptual data models;

Working with development teams to create physical data models and implementation road maps;

Developing best practices for data model development to ensure consistency;

Ensuring data models adhere to data classification and governance objectives;

Reviewing data models in data systems for variances, efficiency, and interoperability;

Evangelizing data models and aligning their use to support a variety of business needs;

Troubleshooting and optimizing data models., The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.

Five (5) years of hands-on experience with relational and dimensional data modeling

Certificates and Licenses: CBIP Certification a plus.

OTHER REQUIRED QUALIFICATIONS:

Expert knowledge of metadata management and related tools

Strong interpersonal skills

Excellent communication and presentation skills

Advanced troubleshooting skills

Detail oriented, capable of envisioning edge-cases that are likely to happen in the real data sets

Aware of software engineering / DevOps best practices (Source control & branching patterns, automated testing, automated deployments)

Ideally capable of writing data transformations in code, but in some organizations may utilize a GUI tool

Understanding of modern CI / CD practices and principles, with experience in Jenkins development preferred

Strong understanding of DataOps principles

Microsoft Office (Outlook, Word, Excel, PowerPoint, Project, Visio, etc.); Web proficiency.

Ability to travel 10% of the time

Ability to clear required background check

desired Qualifications:

Bachelor’s Degree in information systems, computer science, engineering or other relevant discipline

• Familiarity with Dbt, Snowflake, Alation, Power BI

• We anticipate the salary range to be $70,202.25- $111,000.00. An individual’s compensation can vary based on several factors which include, but are not limited to, geographic location, experience, training, education, and local market conditions. Eligible employees may receive a bonus. Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a home based position. This position is open to residents of, and may be performed remotely from Washington, D.C.

Job Type Regular