Salary is 190k to 275 + bonus
Seeking a highly experienced Senior Data Architect with Metadata and 7-10+ years of expertise in taxonomy and metadata management to join our dynamic team. The ideal candidate will possess a deep understanding of metadata models and solutions architecture, and be skilled in developing and implementing metadata frameworks that support our organization's strategic goals. This role demands a blend of technical acumen, strategic thinking, and the ability to communicate complex concepts clearly.
Key Responsibilities:- Metadata Strategy Development: Design and implement comprehensive metadata strategies that align with business objectives and data governance policies.
- Taxonomy Design: Develop and maintain taxonomies and controlled vocabularies to ensure consistent and accurate metadata across various data assets.
- Solutions Architecture: Architect and optimize metadata models, ensuring they are scalable and aligned with the organization's data architecture and technological stack.
- Data Management: Oversee the integration of metadata into data management systems, ensuring metadata accuracy and accessibility.
- Collaboration: Work closely with data architects, business analysts, and IT teams to align metadata solutions with broader organizational needs and technology initiatives.
- Documentation and Training: Create detailed documentation for metadata standards, processes, and models. Provide training and support to staff on metadata best practices.
- Compliance and Quality Assurance: Ensure metadata practices comply with industry standards and regulatory requirements. Monitor and enhance metadata quality and consistency.
- Innovation: Stay abreast of emerging trends and technologies in metadata management and taxonomy. Recommend and implement improvements and innovations in metadata practices.
Qualifications:- Experience: 7-10+ years of experience in taxonomy development, metadata management, and solutions architecture. Experience with MongoDB and SQL Server and familiarity with big data technologies such as Hadoop, Spark and Kafka.
- Technical Skills: Proficiency in metadata management tools and platforms. Strong knowledge of metadata standards and best practices.
- Analytical Skills: Exceptional problem-solving skills with the ability to analyze complex data and provide actionable insights.
- Communication: Excellent verbal and written communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Collaboration: Proven ability to work effectively in cross-functional teams and manage multiple priorities in a fast-paced environment.
- Education: Bachelor's degree in Information Science, Computer Science, Data Management, or a related field. Advanced degree or relevant certifications (e.g., Certified Metadata Professional) is a plus.
Preferred Skills:- Experience with data governance frameworks and tools.
- Knowledge of data integration and ETL processes.
- Familiarity with semantic web technologies (e.g., RDF, OWL) and linked data principles.