Title: Data Architect
Location: Charlotte, NC
Duration: Direct Hire
Compensation: $145k -$160k
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Data Architect
***Fully Onsite in Charlotte*** Skillset / Experience:
We are seeking a Data Architect to join our growing biopharmaceutical company. Reporting to the Business Intelligence Manager of Development, this position is responsible for designing, developing, and implementing the data architecture strategy for our Healthcare/Pharmaceutical client.
Additional responsibilities of the Data Architect role include: Develop and implement data architecture strategy aligned with business objectives. Collaborate with stakeholders to understand data needs and translate them into effective solutions. Design and maintain conceptual, logical, and physical data models for integrity and consistency. Define data standards, governance processes, and management best practices. Evaluate and recommend new technologies to optimize data architecture and enhance data quality. Serve as the Subject Matter Expert (SME) for recommended technical approaches for solving our internal complex data-related development and integration problems. Provide guidance and mentorship to data engineering team. Stay informed about industry trends and advancements in data architecture, data management, and data governance. Ensure data quality and consistency through data integration, transformation, and cleansing. Participate in on-call rotation and assist with after-hours issues, as required. This Is Who You Are: A natural leader who displays strong character and integrity. An excellent communicator and team player. Excellent technical, conceptual, interpersonal, written, and verbal communication skills. Work well under pressure and with demanding deadlines and demonstrates ability to adapt to changing priorities and respond to problems creatively. A decision-maker with the ability to positively influence people. This Is What It Takes: Bachelor's degree in computer science or information systems science, or equivalent experience (Master's degree preferred). Six (6) + years of comprehensive data warehouse analysis and design experience, with full knowledge of data warehouse methodologies, data modeling and ETL/ELT processes. Five (5) + years of experience with SQL programming objects, including stored procedures, user-defined functions, and common table expressions. Five (5) + years of experience with data management tools and technologies (e.g., SQL, NoSQL, Hadoop, etc.). Prior experience developing cloud-based data solutions using Azure Data Factory. Create conceptual, logical, and physical data models, typically for the purpose of creating or extending complex relational data models. Working knowledge of general business, quality/regulatory requirements, and/or manufacturing systems is preferred. Familiarity with data governance frameworks and best practices. Must demonstrate proficiency with technical, conceptual, interpersonal, written, and verbal communication skills. Must demonstrate ability to adapt to changing priorities and respond to problems creatively. About INSPYR Solutions As a leading technology solutions company, we connect top IT talent with clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. There are four elements that set us apart and serve as pillars of our company philosophy: Quality, Expertise, People, and Relationships. By always striving for excellence in these areas and focusing on the human aspect of our business, we work seamlessly together with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
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