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Contract Data Taxonomist Jobs (NOW HIRING)

Data Architect

Jersey City, NJ ยท On-site

$66.50 - $85.50/hr

Contract * Develop and evolve the enterprise wide data strategy to support delivery of corporate ... Data dictionary taxonomy to aid data traceability * Provide technical oversight to solution ...

Content Data Specialist

Atlanta, GA ยท On-site

$15.27 - $16.97/hr

Aug 3, 2026 Content Data Specialist (Contract) About the Role We're looking for a detail-oriented ... Experience with metadata, taxonomy, or content tagging * Exposure to e-commerce or product catalog ...

Showing results 21-40

Contract Data Taxonomist information

What is the difference between Contract Data Taxonomist vs Data Analyst?

AspectContract Data TaxonomistData Analyst
CredentialsTypically requires data management, taxonomy, or information science certificationsOften requires degrees in statistics, mathematics, or related fields
Work EnvironmentWorks on organizing and classifying data within projects, often in consulting or contract rolesAnalyzes data to generate reports, insights, and support decision-making
Employer & Industry UsageUsed in industries needing structured data classification, such as tech, finance, and healthcareCommon across various industries for data-driven decision support

The Contract Data Taxonomist focuses on creating and maintaining data classification systems, while a Data Analyst interprets data to provide insights. Both roles require strong data skills but serve different functions within data management and analysis.

More about Contract Data Taxonomist jobs
What are the most commonly searched types of Data Taxonomist jobs? The most popular types of Data Taxonomist jobs are:
What job categories do people searching Contract Data Taxonomist jobs look for? The top searched job categories for Contract Data Taxonomist jobs are:
Infographic showing various Contract Data Taxonomist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect

Staffingine LLC

Jersey City, NJ โ€ข On-site

$66.50 - $85.50/hr

Contractor

Re-posted 20 days ago


Job description

Job Title: Data Architect
Job Location: Jersey City - New Jersey - USA
Job Type: Contract

Job Description:

  • Develop and evolve the enterprise wide data strategy to support delivery of corporate objectives
  • Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy
  • Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc
  • Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies
  • Apply Best Practices in creating and maintaining Data Data Pipelines Data Lakes Data Sources Databases Artifacts
  • Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models Data dictionary taxonomy to aid data traceability
  • Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
  • Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
  • Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
  • Develop key performance measures for data integration and quality
  • Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture

SKILLS:


  • Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms Master data Management data integration and OLTP database solutions
  • Possess indepth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions
  • Strong analytical and numerical skills are essential enabling easy interpretation and analysis of large volumes of data
  • A comprehensive understanding of the principles of and best practices behind data engineering and the supporting technologies such as RDBMS NoSQL Cache Inmemory stores
  • Experience of architecting data solution across hybrid cloud on premise data platforms
  • A comprehensive understanding of data warehousing and data transformation extract transform and load processes and the supporting technologies such as Amazon Glue EMR Azure Data Factory Data Lake other analytics products
  • Experience implementing data solutions Excellent problem solving and data modelling skills logical physical sematic and integration models including normalization OLAP OLTP principles and entity relationship analysis
  • Experience of mapping key Enterprise data entities to business capabilities and applications
  • A strong knowledge of horizontal data lineage from source to output
  • Excellent communication and presentational skills confident and methodical approach and able to work within a team environment