Data Catalog

Understands data catalog concepts and metadata management basics. Registers dbt models and sources in the catalog following team conventions. Uses catalog search to discover existing datasets before building new transformations.

Understands data catalog purpose and basic metadata navigation. Uses catalog to discover available data sources for dashboards and reports. Documents BI metric definitions and dashboard data dependencies in the catalog.

Understands data catalog basics and metadata search capabilities. Uses catalog to find relevant datasets for analytical queries. Documents dataset descriptions and column-level metadata following team standards.

Independently maintains data catalog entries for transformation layer. Configures automated metadata extraction from dbt docs and lineage graphs. Implements tagging taxonomies and data classification for governed self-service access.

Independently manages BI layer metadata in the data catalog. Configures metric definitions, KPI hierarchies, and dashboard-to-source mappings. Implements data freshness indicators and quality badges for reporting datasets.

Independently curates analytical dataset metadata in the catalog. Implements column-level descriptions and usage statistics tracking. Creates data dictionaries and glossary entries to improve discoverability for the analytics team.

Architects data systems with Data Catalog. Optimizes for big data. Implements data governance and quality frameworks.

Designs data catalog architecture for enterprise BI ecosystem. Implements automated metadata harvesting from BI tools (Tableau, Power BI, Looker). Establishes metric governance with certified dataset programs and ownership models.

Designs data catalog strategy for analytical domain. Implements automated data profiling and anomaly detection for catalog entries. Builds discovery workflows that accelerate analyst onboarding and cross-team data collaboration.

Implements a data catalog for the analytics platform: integrating dbt docs with an enterprise catalog (Atlan, DataHub, Alation), automated metadata enrichment. Defines standards for classifying and tagging analytical models.

Defines data catalog governance strategy for BI organization. Establishes metadata quality standards, stewardship roles, and catalog adoption metrics. Drives cultural shift toward data-as-a-product through catalog-first workflows.

Defines data catalog adoption strategy across analytical teams. Establishes metadata standards, review processes, and catalog contribution guidelines. Measures catalog impact on analyst productivity and data discovery efficiency.

Architects a unified enterprise data discovery platform: automatic lineage from sources to BI, semantic search by business terms, data marketplace for self-service. Defines governance processes for cataloging and data stewardship.

Defines enterprise data catalog strategy spanning all data domains. Evaluates catalog platforms (DataHub, Atlan, Alation) and shapes metadata architecture. Establishes organizational data governance framework with catalog as central pillar.

Shapes enterprise data catalog vision and metadata management strategy. Drives organizational data literacy through catalog-powered discovery. Evaluates emerging catalog technologies and defines long-term metadata architecture roadmap.