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Apache Atlas Jobs (NOW HIRING)

Manage metadata cataloging and facilitate the adoption of tools such as Collibra, Alation, or Apache Atlas to enhance data discovery and lineage tracking. * Lead Master Data Management (MDM ...

Job Details Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred). Lead Big Data engineering team with specialization on data ingestion (from ...

Software Data Engineer

North Charleston, SC · On-site

$109K - $131K/yr

Atlas Technologies, Inc., a rapidly expanding company supporting the U.S. Military and other ... Experience with data orchestration tools (Apache Nifi) * Experience with open-source monitoring and ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Apache Atlas), and automated classification tools to support data governance and lineage tracking. * 5+ years of demonstrated experience working with unstructured data. * 2+ years of experience in ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

... Apache Atlas), and automated classification tools to support data governance and lineage tracking. * 5+ years of demonstrated experience working with unstructured data. * 2+ years of experience in ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Apache Atlas), and automated classification tools to support data governance and lineage tracking. * 5+ years of demonstrated experience working with unstructured data. * 2+ years of experience in ...

Utilizing OpenLineage, Apache Atlas, or similar tools for metadata and data lineage management. * Enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets ...

Utilizing OpenLineage, Apache Atlas, or similar tools for metadata and data lineage management. * Enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets ...

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Apache Atlas information

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How much do apache atlas jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for apache atlas in the United States is $23.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Apache Atlas vs Data Engineer?

AspectApache AtlasData Engineer
Primary RoleData governance and metadata managementDesigning, building, and maintaining data pipelines
Required SkillsMetadata management, data governance tools, basic SQLSQL, ETL tools, programming languages like Python or Java
Work EnvironmentData governance teams, data platforms, cloud environmentsData warehouses, cloud platforms, big data ecosystems
CertificationsTypically none specific, familiarity with data governance toolsCertifications like AWS, Google Cloud, or Hadoop are common

Apache Atlas focuses on data governance and metadata management, ensuring data compliance and lineage. Data Engineers build and optimize data pipelines for analytics and machine learning. While they collaborate, their core responsibilities differ significantly, with Atlas emphasizing data cataloging and Data Engineers focusing on data processing and integration.

What is Apache Atlas and what is it used for?

Apache Atlas is an open-source data governance and metadata management platform designed for managing the data ecosystem in enterprises. It helps organizations catalog, classify, and govern their data assets, providing features like data lineage, metadata management, and data discovery. Apache Atlas is widely used in big data environments, especially alongside Hadoop and other data processing frameworks, to ensure data compliance and improve data visibility across the organization. It enables organizations to track data flow, set policies, and ensure regulatory compliance effectively.

What are the key skills and qualifications needed to thrive as an Apache Atlas Administrator, and why are they important?

To thrive as an Apache Atlas Administrator, you need strong knowledge of data governance, metadata management, and proficiency in Apache Atlas architecture, typically supported by experience in big data environments and a relevant technical degree. Familiarity with tools like Hadoop, Hive, Kafka, REST APIs, and understanding of security protocols and Atlas-specific certifications are highly valuable. Excellent problem-solving, attention to detail, and communication skills help in collaborating with data teams and resolving metadata issues. These combined skills ensure robust metadata management, regulatory compliance, and effective data lineage tracking within complex data ecosystems.

What are some common challenges faced by professionals working with Apache Atlas, and how can they be addressed?

Professionals working with Apache Atlas often encounter challenges around integrating Atlas with diverse data sources and ensuring consistent metadata governance across complex data landscapes. Keeping up with evolving security requirements and managing role-based access controls can also be demanding. To address these challenges, it is helpful to collaborate closely with data engineering and security teams, leverage Atlas’s extensible APIs, and stay updated with community best practices and documentation. Regular training and participation in open-source forums can further help in overcoming integration and governance hurdles.
Infographic showing various Apache Atlas job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 8% Hybrid, and 7% Remote job distribution, with an average salary of $49,629 per year, or $23.9 per hour.
Data Steward - 797907

Data Steward - 797907

GDH

Montgomery, AL

$50 - $60/hr

Other

Posted 29 days ago


Job description

Data Steward

We are seeking a meticulous and knowledgeable Data Steward to oversee the integrity, compliance, and usability of organizational data. In this pivotal role, you will champion data governance initiatives, manage metadata cataloging, and ensure adherence to industry standards and regulations. Your expertise will support the development of a trustworthy data environment, empowering teams with accurate and well-managed information.

Key Responsibilities:

  • Implement and maintain data governance policies, ensuring data quality, consistency, and security across the organization.
  • Manage metadata cataloging and facilitate the adoption of tools such as Collibra, Alation, or Apache Atlas to enhance data discovery and lineage tracking.
  • Lead Master Data Management (MDM) initiatives, coordinating data definitions and standards across departments.
  • Conduct rigorous data validation and quality assessments using statistical techniques and tools like R, Python, or SAS to support compliance and audit readiness.
  • Develop, document, and enforce stewardship policies, compliance reports, and data quality frameworks.
  • Collaborate with stakeholders to define data stewardship roles, deliver training programs, and promote understanding of data literacy principles.
  • Perform compliance audits aligned with standards such as NIST CSF, IRS Pub 1075, HIPAA, and CJIS, utilizing tools like SQL Server, Red-Gate SQL Monitor, and BI platforms like Power BI or Tableau.
  • Produce comprehensive documentation for data management processes, quality metrics, and audit findings.

Qualifications:

  • Bachelor’s degree in Information Systems, Data Management, or a related field.
  • 5–7 years of experience in data governance, stewardship, compliance, or related roles.
  • Hands-on experience with metadata management and cataloging tools (Collibra, Alation, Apache Atlas).
  • Strong background in Master Data Management (MDM) initiatives.
  • Knowledge of regulatory and compliance standards, including NIST CSF, IRS Pub 1075, HIPAA, and CJIS.
  • Proficiency in statistical/data analysis and certification in R, Python, or SAS for data validation.
  • Demonstrated ability to develop and deliver training on data literacy and stewardship topics.
  • Excellent documentation, communication, and organizational skills.
  • Certifications such as CDMP, DCAM, or CIPP are preferred.

Technical Skills:

  • SQL Server (constraints, triggers, automation)
  • Metadata/cataloging tools (Collibra, Alation, Apache Atlas)
  • Data quality frameworks (Great Expectations, Soda)
  • BI tools (Power BI, Tableau)
  • Statistical analysis software (R, Python, SAS)

Publishing Pay Range: $50.00 - $60.00 hourly
This position is based in office and requires employee to work on-site.