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KL

Kadel Labs

Atlan Architect (Data governance)

Udaipur, jaipur, bhopal, bangalore, INNa miejscuStałaPełny etat

Opublikowano 27 paź 2026

To stanowisko jest opublikowane w języku EN

We are looking for an experienced Atlan Architect with 10+ years of experience to lead the implementation and evolution of Atlan's data catalog and lineage capabilities across multiple business domains, including Sales, Finance, and other enterprise functions.

The ideal candidate will have strong expertise in data cataloging, metadata management, data lineage, data deduplication, and harmonization. The role involves establishing a mature, scalable, and business-aligned data catalog ecosystem to improve data discovery, governance, and trust across the organization.

Experience with Data Unity Catalog (DUC) and the ability to support a potential transition toward a DUC-based catalog and ontology framework will be an added advantage.

Key Responsibilities

  • Lead Atlan implementation and adoption across multiple business domains, including Sales, Finance, and other enterprise functions.
  • Develop and mature the enterprise data catalog, ensuring consistent metadata management, data discovery, and governance practices.
  • Establish and enhance end-to-end data lineage capabilities for improved data traceability, transparency, and impact analysis.
  • Define and implement data deduplication, standardization, and harmonization strategies across multiple data sources.
  • Establish metadata standards, data ownership, business glossary definitions, and enterprise data governance processes.
  • Collaborate with business stakeholders, data engineering teams, data owners, and governance teams to understand requirements and drive adoption.
  • Assess existing catalog capabilities and support the potential transition toward a DUC-based catalog and ontology framework.
  • Define architecture and integration approaches for connecting Atlan with enterprise data platforms, data sources, and metadata systems.
  • Evaluate catalog maturity and develop a roadmap for improving metadata quality, lineage accuracy, and governance adoption.

Required Skills and Qualifications

  • 10+ years of experience in Data Architecture, Data Governance, Metadata Management, or related fields.
  • Strong hands-on experience with Atlan Data Catalog implementation, configuration, and administration.
  • Extensive understanding of data cataloging, metadata management, data lineage, and enterprise data governance.
  • Experience implementing catalog and governance solutions across multiple business domains.
  • Expertise in data deduplication, data standardization, and data harmonization techniques.
  • Strong knowledge of data architecture, data modeling, metadata integration, and enterprise data ecosystems.
  • Experience defining data ownership, business glossaries, metadata standards, and governance frameworks.
  • Proven ability to engage with senior stakeholders and lead cross-functional initiatives.

Preferred Qualifications

  • Experience with Data Unity Catalog (DUC) and related catalog or ontology capabilities.
  • Experience with catalog migration, platform transitions, and enterprise metadata architecture.
  • Familiarity with Databricks, Snowflake, and cloud-based data ecosystems.
  • Understanding of data quality, Master Data Management (MDM), semantic modeling, and ontology development.
  • Experience driving enterprise-wide data governance adoption.

Expected Outcomes

  • Successful implementation and adoption of Atlan across identified business domains.
  • Improved maturity and coverage of the enterprise data catalog and data lineage.
  • Reduced data duplication and improved data and metadata harmonization.
  • Standardized data definitions, ownership, and governance practices.
  • A defined roadmap for a potential transition to a DUC-based catalog and ontology framework.

Przegląd stanowiska

Typ stanowiska

Pełny etat

Wymagane umiejętności

Atlan Data Catalog Implementation, Configuration, and AdministrationEnterprise Metadata ManagementData Lineage and Impact AnalysisEnterprise Data Governance FrameworksData Deduplication, Standardization, and HarmonizationData Architecture and Enterprise Data EcosystemsMetadata Integration and Platform ConnectivityData ModelingData Ownership, Business Glossary, and Metadata StandardsCatalog Migration and Platform TransitionData Unity Catalog (DUC) and Ontology FrameworksStakeholder Engagement and Cross-Functional LeadershipDatabricks, Snowflake, and Cloud Data EcosystemsData Quality, Master Data Management, and Semantic Modeling

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