Data Science Specialist

Job Summary

Data Solution Specialist : Experience in data-governance-focused position requiring familiarity with Fabric, Synapse, Databricks, and especially Purview, including metadata management, business glossaries, data classification, cataloguing, lineage, and governance practices.

The Data Discipline Specialist ensures that agreed governance requirements are delivered for One Data use cases. The role works within squads to make data assets, business terms, KPIs and data products documented, discoverable, traceable and supported. The role also ensures data quality process are in place.The role combines hands-on governance documentation, delivery coordination and production-readiness verification with the operation and improvement of governance capabilities. It works against predefined requirements, standards and acceptance criteria.

Key Responsibilities

·Squad delivery: Ensure agreed Data Discipline requirements are delivered. Track owners, tasks and dependencies, escalate blockers, and verify completion against predefined acceptance criteria and evidence.

·Metadata and semantic documentation: Maintain asset ownership, business context and descriptions of assets, tables, columns and measures, ensuring completeness and discoverability.

·Business glossary and KPIs: Maintain approved terms, KPI definitions and calculation rules; link them to data columns and measures, and coordinate resolution of conflicting definitions.

·Lineage: Verify asset-level lineage is discoverable within the relevant workspace and coordinate resolution of gaps.

·Data quality: Verify agreed checks are implemented and scores are discoverable. Track source-owner remediation and closure evidence.

·Data-product governance: Register products, maintain ownership, lifecycle information and supporting links, and promote reuse.

·Capability rollout and improvement: Coordinate metadata preparation, onboarding and scanning readiness; validate results, support adoption, and improve repositories, templates, procedures and automation.

·Production readiness: Verify Data Discipline Definition of Done evidence and escalate unmet requirements before publication.

·Cross-team coordination: Resolve governance dependencies across business and delivery teams.

·Legacy Data Platform Maintenance: maintenance, support & execution of a Synapse/Databricks internally developed engine leveraging Purview and SQL materialised views

Skill Requirements

·Practical experience in Data Governance, Data Analysis, metadata management, Business Intelligence or a related discipline.

·Understanding of data catalogues, business glossaries, KPI definitions, semantic models, lineage, data quality and data-product governance.

·Experience maintaining governance documentation and coordinating validation with business and technical stakeholders.

·Ability to drive completion of agreed activities, manage dependencies, escalate blockers and verify delivery evidence against predefined requirements.

·Experience working within Agile squads and tracking activities through delivery tools such as Azure DevOps.

·Strong analytical, documentation, communication, stakeholder-management and problem-solving skills.

·Experience supporting governance capability rollout, user adoption and continuous improvement.

·Ability to work across business and technical teams while respecting ownership and decision-making accountabilities.

Other Requirements