Data Architect

Equifax - Alpharetta, GA

Full-time - Mid Level

Remote - Alpharetta, GA

Credit Intermediation and Related Activities

About the position

The Data Architect role at Equifax is a specialized position within the Global Data Office, focusing on taxonomy development, graph schema design, semantic AI techniques, and data governance. The role aims to enhance Equifax's data capabilities, particularly in the cloud environment, and to support the creation of advanced data offerings. The position requires collaboration with various teams to align data architecture with business needs and enterprise strategy.

Responsibilities

• Design and build domain-specific taxonomies and ontologies.
• Maintain and update taxonomies as business needs evolve.
• Utilize taxonomies to improve search, information retrieval, and knowledge management.
• Develop and implement graph data models that accurately represent complex relationships in the financial domain.
• Work with database administrators and developers to ensure optimal performance and scalability of the graph database.
• Leverage AI technologies such as NLP and ML to enhance taxonomies and graph data models.
• Develop and implement algorithms for semantic search, entity recognition, and relationship extraction.
• Support the design and implementation of data models for data acquisition, production, storage, access, analysis, and delivery.
• Align components of the data environment with the enterprise data strategy.
• Work with IT to align underlying physical sources with the specified data architecture.
• Support management of the data architecture through governance processes.
• Support the design and evolution of the architecture of data assets to drive value and NPIs.

Requirements

• BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred.
• 5 - 7 years of data analysis and modeling experience, particularly applied to common and specific business uses.
• Cloud and other relevant technical certifications strongly preferred.
• Familiarity with cloud and on-prem technologies, structured and unstructured data, streaming and reposed data.
• Experience with data modeling techniques and tools.
• Experience in analytics and AI solutions such as NLP and ML.
• Strong understanding of semantic web technologies, taxonomies, ontologies, and graph databases.
• Knowledge of Python programming language.
• Experience with a data visualization and reporting tool.
• Experience working closely with business and analytics teams to understand their needs.
• Hands-on technical capabilities in designing and developing relational and non-relational data models.
• Excellent communication and collaboration skills.

Nice-to-haves

• Technical advising or consulting experience in modeling entities and relationships.
• Domain knowledge of financial products, markets, and regulations.
• Understanding of data security and privacy regulations in the financial services industry.
• Knowledge of risk management principles.

Benefits

• Comprehensive compensation and healthcare packages.
• 401k matching.
• Paid time off.
• Organizational growth potential through an online learning platform with guided career tracks.