Data Architect

CliftonLarsonAllen•Nashville, TN

17h•Hybrid

About The Position

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other. CLA is growing and seeking to hire an experienced Data Architect to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation. This role will lead designing, creating, deploying, and managing the company's data architecture. They will define how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.

Requirements

5 years of relevant experience required
Proficiency in SQL, NoSQL, and other database technologies.
Understanding of data governance and compliance.
Understanding of database structure principles and data administration.
Knowledge of data mining and segmentation techniques.
Experience with Databricks and Azure.

Nice To Haves

Experience with data architecture, data modeling, and database design preferred.

Responsibilities

Design and develop scalable data architecture solutions.
Lead data integration and migration projects.
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
Ensure data quality, integrity, and security.
Responsible for creation and maintenance of formal description of the data and data structures, including data models, data flow diagrams, and data dictionaries.
Provide training to junior members of the team and act as a point of escalation for complex questions and issues.