Architect and deliver complex, multi-year data unification and Customer 360 solutions.
Design and implement Master Data Management (MDM) capabilities: identity resolution, match/merge logic, survivorship rules, and stewardship workflows.
Build and operate scalable, automated data pipelines across cloud and on-prem sources; hands-on experience with Profisee (MDM) and Fivetran (integration).
Develop and optimize solutions on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, and Microsoft Fabric (including lakehouse/medallion patterns).
Establish and operationalize data governance frameworks: data cataloging, lineage tracking, stewardship operating models, access controls, and regulatory/compliance policies; experience integrating Microsoft Purview is a plus.
Define and monitor data quality baselines (accuracy, consistency, completeness, timeliness) and drive continuous improvement.
Create and evolve semantic models to support analytics, reporting, and AI scenarios; enforce standardized definitions and calculations.
Lead change management and stakeholder engagement to drive adoption and value realization.
Apply DataOps practices for observability, performance tuning, hypercare, and post–go-live optimization.
Collaborate with executive, business, and IT stakeholders; translate business needs into clear technical designs and roadmaps.

Requirements

Proven success delivering complex, multi-year Customer 360 initiatives in multi-system environments.
Hands-on expertise with Profisee (MDM) and Fivetran (data integration).
Deep experience with Microsoft Azure data services and Microsoft Fabric.
Strong background in data governance frameworks and operationalizing data quality and compliance (Purview experience preferred).
Proficiency in semantic modeling and analytics enablement (Power BI).
Excellent communication, documentation, and cross-functional collaboration skills.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Master Data Managementdata unificationdata pipelinesdata governancedata qualitysemantic modelingDataOpsanalytics enablementidentity resolutionmatch/merge logic

Soft Skills

communicationdocumentationcross-functional collaborationchange managementstakeholder engagement