Data Quality Analyst / Databricks Implementation Specialist
Contract Position: 12 Months Location: Juno Beach FL (Onsite)
Role Summary
The Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the companys enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards data owners and technical teams to translate business data requirements into governed high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding develop and operationalize data quality rules perform profiling and analysis and help implement enterprise standards for metadata lineage and semantic consistency.
Key Responsibilities:
Data Quality & Profiling
Develop document and maintain data quality rules for critical data elements (CDEs).
Perform data profiling anomaly detection and root-cause analysis.
Partner with data stewards to validate definitions thresholds and business rules.
Monitor and report on data quality metrics and remediation progress.
Databricks Unity Catalog Implementation
Support Unity Catalog rollout across domains including catalog structure tagging and metadata standards.
Assist with onboarding domains into the Bronze Silver Gold architecture.
Ensure lineage ownership and quality rules are embedded into Databricks pipelines.
Help implement domain-aligned access controls and sensitivity tagging.
Collaboration with Data Stewards & Business Partners
Work directly with business data stewards to understand data requirements and quality expectations.
Translate business meaning into standardized CDEs and steward-approved metadata.
Facilitate working sessions to align on semantics domain boundaries and data product requirements.
Support consistent governance practices across domains.
Metadata Lineage and Catalog Management
Maintain high-quality metadata in the enterprise data catalog.
Ensure CDEs KPIs and domain terms are accurately documented.
Validate lineage from raw sources through refined layers.
Required Qualifications
35 years of experience in data quality data governance or data analysis.
Hands-on experience with Databricks Delta Lake or similar cloud platforms.
Strong understanding of data quality concepts.
Experience with metadata catalogs or governance tools.
Proficiency with SQL and data analysis.
Strong communication skills.
Preferred Qualifications
Experience with Databricks Unity Catalog.
Familiarity with Medallion Architecture.
Exposure to governance frameworks (DAMA DCAM).
Experience collaborating with data stewards or data owners.
Knowledge of data modeling or semantic layers.
Data Quality Analyst / Databricks Implementation Specialist Contract Position: 12 Months Location: Juno Beach FL (Onsite) Role SummaryThe Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the companys enterprise data governance and Databricks Lakehouse str...
Data Quality Analyst / Databricks Implementation Specialist
Contract Position: 12 Months Location: Juno Beach FL (Onsite)
Role Summary
The Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the companys enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards data owners and technical teams to translate business data requirements into governed high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding develop and operationalize data quality rules perform profiling and analysis and help implement enterprise standards for metadata lineage and semantic consistency.
Key Responsibilities:
Data Quality & Profiling
Develop document and maintain data quality rules for critical data elements (CDEs).
Perform data profiling anomaly detection and root-cause analysis.
Partner with data stewards to validate definitions thresholds and business rules.
Monitor and report on data quality metrics and remediation progress.
Databricks Unity Catalog Implementation
Support Unity Catalog rollout across domains including catalog structure tagging and metadata standards.
Assist with onboarding domains into the Bronze Silver Gold architecture.
Ensure lineage ownership and quality rules are embedded into Databricks pipelines.
Help implement domain-aligned access controls and sensitivity tagging.
Collaboration with Data Stewards & Business Partners
Work directly with business data stewards to understand data requirements and quality expectations.
Translate business meaning into standardized CDEs and steward-approved metadata.
Facilitate working sessions to align on semantics domain boundaries and data product requirements.
Support consistent governance practices across domains.
Metadata Lineage and Catalog Management
Maintain high-quality metadata in the enterprise data catalog.
Ensure CDEs KPIs and domain terms are accurately documented.
Validate lineage from raw sources through refined layers.
Required Qualifications
35 years of experience in data quality data governance or data analysis.
Hands-on experience with Databricks Delta Lake or similar cloud platforms.
Strong understanding of data quality concepts.
Experience with metadata catalogs or governance tools.
Proficiency with SQL and data analysis.
Strong communication skills.
Preferred Qualifications
Experience with Databricks Unity Catalog.
Familiarity with Medallion Architecture.
Exposure to governance frameworks (DAMA DCAM).
Experience collaborating with data stewards or data owners.
Knowledge of data modeling or semantic layers.
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