Data Architect

JOB DESCRIPTION

Job Summary: 

We are looking for an experienced Data Architect with a deep understanding of Capsenta to lead our data modeling and architecture efforts. The ideal candidate will play a crucial role in designing, implementing, and optimizing data solutions that align with our clients' needs. I 

Key Responsibilities: 

Data Architecture Design: Lead the design and development of data architectures, ensuring scalability, reliability, and performance. Utilize your expertise in Capsenta to create innovative solutions. 

Data Modelling: Develop and maintain data models, schemas, and ontologies using Capsenta's capabilities to provide structured representations of complex data. 

Database Management: Manage and optimize databases, ensuring data integrity, security, and compliance. Implement best practices for data storage and retrieval. 

Integration: Collaborate with cross-functional teams to integrate data from various sources into a unified architecture. Ensure seamless data flow and interoperability. 

Performance Tuning: Monitor and optimize database performance, making adjustments as needed to meet performance objectives. 

Data Governance: Establish and enforce data governance policies, standards, and procedures to maintain data quality and consistency. 

Documentation: Maintain comprehensive documentation of data architecture, models, and solutions. 

Team Collaboration: Work closely with data engineers, analysts, and stakeholders to understand data requirements and provide technical guidance. 

Stay Updated: Stay informed about industry trends, emerging technologies, and advancements in Capsenta to continually enhance our data capabilities. 

Qualifications: 

Bachelor's degree in computer science, Information Technology, or a related field (Master's degree preferred). 

Proven experience as a Data Architect, with a focus on Capsenta solutions. 

Strong understanding of data modeling, semantic technology, and graph databases. 

Proficiency in Capsenta's platform for knowledge graph solutions. 

Knowledge of data integration, ETL processes, and data warehousing. 

Familiarity with data governance principles and best practices. 

Strong problem-solving and analytical skills. 

Excellent communication and collaboration abilities. 

Relevant certifications in Capsenta or related technologies preferred.