Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...
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Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices. * Strong understanding of analytics enablement and ...
Remote Metadata information
See Anderson, IN salary details
$31.04 - $34.90
4% of jobs
$34.90 - $38.76
0% of jobs
$38.76 - $42.63
0% of jobs
$42.63 - $46.49
1% of jobs
$46.49 - $50.35
11% of jobs
$51.82 is the 25th percentile. Wages below this are outliers.
$50.35 - $54.21
22% of jobs
The median wage is $57.25 / hr.
$54.21 - $58.08
15% of jobs
$58.08 - $61.94
11% of jobs
$65.16 is the 75th percentile. Wages above this are outliers.
$61.94 - $65.80
13% of jobs
$65.80 - $69.67
10% of jobs
$69.67 - $73.53
13% of jobs
$31
$58
$73
How much do remote metadata jobs pay per hour?
As of Jul 29, 2026, the average hourly pay for remote metadata in Anderson, IN is $58.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $66.44 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Remote Metadata position, and why are they important?
To excel as a Remote Metadata Specialist, you need a deep understanding of information management, data organization, and metadata standards, often backed by a degree in library science, information systems, or a related field. Familiarity with metadata management tools (e.g., DAM systems, XML, Dublin Core), database systems, and sometimes certifications such as Certified Records Manager (CRM) are highly valued. Strong attention to detail, analytical thinking, and effective virtual communication are standout soft skills for this role. These competencies are essential to ensure data is accurately structured, easily retrievable, and supports organizational objectives in a distributed work environment.
What is a Remote Metadata job?
A Remote Metadata job involves managing, organizing, and ensuring the accuracy of metadata for digital content, databases, or other assets from a remote location. Responsibilities may include tagging, categorizing, and maintaining metadata standards to improve searchability and data integrity. These roles are common in industries like media, publishing, e-commerce, and information management. Strong attention to detail, familiarity with metadata standards, and proficiency in data management tools are often required.
What does a typical day look like for a Remote Metadata Specialist?
As a Remote Metadata Specialist, your day typically involves reviewing digital assets, assigning or updating metadata following industry standards, and collaborating with team members via virtual platforms. You may be responsible for quality-checking metadata for consistency and accuracy, troubleshooting data discrepancies, or developing new metadata taxonomies to improve searchability. Regular meetings with content creators, data managers, or IT professionals are common to align metadata practices with organizational goals. The role is often both independent and collaborative, offering a balance between focused tasks and teamwork, all within a flexible remote work environment.
What cities near Anderson, IN are hiring for Remote Metadata jobs? Cities near Anderson, IN with the most Remote Metadata job openings:
Job description
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.
Snowflake Architect | About You
As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and datadriven decisionmaking. You bring deep expertise in Snowflake and cloudnative architectures, along with a strong track record delivering greenfield data platforms and leading onpremises to cloud migrations. You operate comfortably at both the strategic and handson levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and wellgoverned platforms from the start. You collaborate effectively with business and technical stakeholders to translate longterm data vision into practical, sustainable architectures.
Snowflake Architect | Day-to-Day
- Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and largescale modernization efforts.
- Define and implement architectural patterns for onpremises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
- Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
- Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
- Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
- Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
- Support analytics and reporting teams by ensuring Snowflake architectures enable selfservice BI and reliable access to trusted data sources.
Snowflake Architect | Skills & Experience
- 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
- Deep, handson expertise with Snowflake, including architecture design, performance optimization, security models, and largescale transformation workloads.
- Proven experience leading greenfield data platform implementations and onpremises to cloud migrations.
- Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
- Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
- Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
- Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.
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