Data Quality Analyst / Databricks Implementation Specialist
About The Position
The Data Quality Analyst / Databricks Implementation Specialist plays a key role in advancing the company's 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.
Requirements
- 3–5 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
