BENEFITS

Negotiable
Job Description :Our client is looking for Sr. Data Architect- Remote!

MUST HAVE PRIMARY SKILLS :

University graduation-Computing Science (CS), Information Technology (IT), Engineering (ENG), Management Information Systems (MIS) or related discipline & 6-yrs progressive related experience
2-yr diploma-CS, IT, ENG, MIS or related discipline & 8-yrs progressive related experience
1-yr certificate-CS, IT, ENG, MIS or related discipline & 9-yrs progressive related experience
Experience in building analytical and quantitative analysis models.
Experience using analytical and problem solving skills to plan and design creative solutions
Experience with projects that involved data science , data engineering and / or AI.
10-yrs progressive related experience
Experience using Hadoop, Microsoft SQL and unstructured data. Must have background with unstructured data, in the form of social media, video feeds or audio.
Experience with and understanding of the application of statistical methods such as regression, significance testing, and other methods to address key business issues.
Experience with dimensional modeling techniques.
Experience with Python development
Experience with relational database modeling techniques.
Experience working in a data warehouse/business intelligence or relevant data environment in either a development or support role. 5 years
Experience designing semantic data models and ontologies to enable structured knowledge representation and improve conversational AI

NICE TO HAVE SECONDARY SKILLS :

Candidate will require own equipment (Windows is preferred due to better compatibility)
Proven experience designing and deploying scalable cloud-based data platform architectures that integrate with semantic and advanced Artificial Intelligence (AI) and Machine Learning (ML) analytical technologies.
Experience with architecting and maintaining and orchestrating secure, automated CI/CD pipelines for data and AI services to enable rapid, compliant deployments.
Direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification/anonymization, data audits/reviews, synthetic data
Experience in Agile project methodology.
Experience building and maintaining enterprise knowledge graphs
Hands-on experience with generative AI orchestration tools, vector databases and frameworks, and their integration with enterprise source data systems for conversational interfaces.
Demonstrated experience in managing metadata, ensuring data quality, and implementing data governance frameworks to support enterprise compliance efforts.
Expertise in designing and implementing semantic models, ontologies, and taxonomies to support enterprise semantic knowledge representation.
Experience evaluating and applying emerging trends in semantic research areas, Generative AI, AI ethics, advanced analytics (AI, machine learning, data science) and data interoperability to inform strategic planning.

Lead the design and implementation of semantic data models that support generative AI applications and conversational user interfaces.
Develop and manage ontologies, taxonomies, and metadata standards to enhance data discoverability, governance, and reuse.
Document architecture decisions, standards, and best practices to support operational sustainability and knowledge transfer.
Architect and maintain scalable cloud-based infrastructure to support semantic data integration, knowledge graphs, and AI- and advanced analytics-driven services.
Collaborate with multi-disciplinary teams to align semantic architecture with strategies and ensure interoperability across supported platforms.
Integrate generative AI tools with enterprise data systems to enable intelligent conversational capabilities.
Support the development of conversational user interfaces, AI-enabled data products and AI agents that leverage structured and unstructured data sources.
Ensure policy-aligned data privacy, security, and ethical AI practices are embedded in all semantic and AI infrastructure designs.
Provide technical leadership and mentorship to other team members involved in semantic, AI and advanced analytical initiatives.
Monitor and evaluate emerging technologies in semantic knowledge, AI, and data architectures to inform strategic planning and innovation.
IND1: malegre@finney-taylor.co