Senior Data QA/Databricks Implementation Lead

Kforce has a client that is seeking a Senior Data QA/Databricks Implementation Lead in Juno Beach, FL. Responsibilities Strategic Leadership & Governance: Lead the development and enforcement of enterprise standards for Databricks Unity Catalog, Medallion architecture, metadata, and domain onboarding. Serve as a senior advisor to domain data owners and stewards on data quality, CDE definitions, and semantic alignment. Drive adoption of enterprise data governance practices across business units and technical teams. Establish and maintain enterprise data quality frameworks, KPIs, and monitoring capabilities. Databricks Unity Catalog Architecture & Implementation: Design and oversee the implementation of domain catalogs, Bronze/Silver/Gold schemas, lineage, and metadata structures. Lead cross‑domain onboarding into Unity Catalog, ensuring consistent patterns, tagging, and access controls. Partner with platform engineering to embed governance, lineage, and quality rules into Databricks pipelines. Ensure Unity Catalog is the authoritative source for ownership, sensitivity, and semantic metadata. Advanced Data Quality Engineering: Architect and implement complex data quality rules, validation frameworks, and automated monitoring. Lead profiling, anomaly detection, and root‑cause analysis for high‑impact data issues. Define enterprise standards for CDE quality thresholds, rule design, and remediation workflows. Oversee quality scoring and trust indicators for Gold‑layer data products. Cross‑Domain Collaboration & Enablement: Facilitate working sessions with stewards, owners, and engineering teams to align on definitions, lineage, and data product requirements. Mentor junior analysts and guide teams on best practices for data quality and Databricks implementation. Provide leadership in resolving cross‑domain data issues, semantic conflicts, and lineage gaps. Requirements 6–10 years of experience in data quality, data governance, data engineering, or analytics. Deep hands‑on experience with Databricks, Delta Lake, and Unity Catalog. Strong understanding of Medallion architecture and domain‑driven data design. Expertise in data quality engineering, profiling, rule development, and monitoring. Experience leading cross‑functional governance or data quality initiatives. Proficiency in SQL and familiarity with Python or PySpark. Strong communication and stakeholder management skills, including executive‑level engagement. Ability to translate complex business requirements into scalable technical solutions. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & AD&D insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. #J-18808-Ljbffr Kforce Inc