Senior Data Architect

Phaxis; New York (NY); On-site; USD 190,000 - 275,000; Full time

Job summary

An established industry player is seeking a Senior Data Architect to lead the development of innovative metadata strategies and solutions. This pivotal role requires extensive experience in taxonomy and metadata management, with a focus on creating frameworks that align with organizational goals. The ideal candidate will thrive in a collaborative environment, working closely with cross-functional teams to enhance data governance practices. If you are passionate about metadata and eager to drive impactful changes within a dynamic organization, this opportunity is perfect for you.

Benefits

401(k)

Medical insurance

Vision insurance

Qualifications

• 7-10+ years of experience in taxonomy development and metadata management.
• Proficiency in metadata management tools and platforms.

Responsibilities

• Design and implement comprehensive metadata strategies.
• Develop and maintain taxonomies and controlled vocabularies.
• Create detailed documentation for metadata standards.

Skills

Metadata Management

Taxonomy Development

Solutions Architecture

Analytical Skills

Communication

Collaboration

Education

Bachelor’s degree in Information Science

Advanced degree or relevant certifications

Tools

MongoDB

SQL Server

Hadoop

Spark

Kafka

Job description

This range is provided by Phaxis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$190,000.00/yr - $275,000.00/yr

Additional compensation types

Annual Bonus

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.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

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