Data Architect

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.