We are seeking a highly skilled and detail-oriented Data Architect / Data Quality Analyst to lead and support the design, modeling, and governance of enterprise data architecture and workflows. This individual will play a critical role in ensuring data quality, integrity, and consistency across systems by collaborating closely with global data stakeholders, including the Data Quality Organization in Paris.

Key Responsibilities

Primary Deliverables:

• Develop and maintain logical and physical data models
• Design and execute data workflows and data architecture
• Generate data profiling reports, quality control documentation, and audits
• Establish and document data definitions, taxonomies, hierarchies, and lineage
• Provide data cleansing services and perform root cause analysis for data defects
• Implement and support meta-data management and master data governance strategies
  
  

Core Activities

• Conduct data audits and detailed data design assessments
• Define and apply business rules to master/reference data
• Analyze and profile datasets to assess and improve quality
• Design and operationalize data quality management procedures
• Collaborate with business and data governance teams on data initiatives
• Establish and enforce data governance frameworks and best practices
  
  

Technical Skills & Qualifications

• Advanced proficiency in SQL and data manipulation tools
• Expert knowledge in data modeling (logical & physical), including ER diagrams, normalization/denormalization, data dictionaries, and agile modeling
• Ability to translate business requirements into technical specifications and vice versa
• Experience with ETL tools, DevOps, and Agile methodologies
• Proficiency with BI and data visualization tools
• Strong understanding of metadata and master data management solutions
• Programming experience (e.g., Python, VBA, XML) is a strong advantage
• Experience managing scientific data or highly structured datasets is preferred
  
  

Soft Skills

• Strong collaboration and interpersonal communication abilities
• Self-motivated and capable of driving work independently
• Exceptional analytical and critical thinking skills
• Fluent in English (both written and oral)
• Thoughtful judgment and problem-solving capability
• Experience coordinating across global, cross-functional teams
  
  

Desired Experience

• Demonstrated leadership in promoting data governance or architecture initiatives
• Experience planning, coordinating, and delivering data solutions in a team setting
• Prior success working in global environments or across time zones
  
  

The target hiring compensation range for this role is $52.02 to $57.80 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Client Description

Global beauty company specializing in cosmetics, skincare, haircare, and fragrance. Operates with a strong focus on innovation, sustainability, and diversity, offering workers opportunities to work with leading brands, cutting-edge research, and a fast-paced, dynamic environment. The company values creativity, entrepreneurship, and professional growth, making it an exciting place for those passionate about beauty, marketing, science, and digital transformation.