
51 - 200 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.
🕒 May 12
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51 - 200 employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.
• Lead Azure Purview Implementations • Architect and deliver end-to-end Microsoft Purview solutions across enterprise environments • Design and configure Data Map, scanning strategies, Metadata ingestion, and classification frameworks • Establish scalable patterns for cataloging, discovery, and governance automation • Define Data Governance Strategy • Design and implement enterprise data governance operating models • Build & Integrate Data Pipelines using Azure Data Factory (ADF), dbt, Databricks, and Alteryx • Develop Python-based solutions for workflow automation, API integrations, and data operations • Collaborate with analytics teams to define semantic layers and business logic in dbt • Ensuring governance is embedded in data pipelines • Conduct governance maturity assessments and define transformation roadmaps • Document data pipelines, models, and governance policies
• 7+ years in data, analytics, engineering, or data governance roles • 3+ years hands-on experience with Microsoft Purview • Proven experience leading data governance implementations or programs • Strong understanding of data cataloging, lineage, and metadata management • Data governance frameworks and operating models • Experience in client-facing / consulting roles • Deep experience with Microsoft Purview (Data Map, scanning, classification, lineage) • Strong experience with Azure Data Factory (ADF) • Azure Data Lake Storage (ADLS) • Snowflake • Databricks / Unity Catalog • Experience with dbt for transformations and modeling • Strong SQL skills • Working knowledge of Python for automation and data engineering • Experience building and optimizing data pipelines and ETL/ELT processes • Experience designing data stewardship models • Business glossaries • Governance policies and standards • Strong communication and workshop facilitation skills
• Work on high-impact, enterprise Azure data transformations • Be part of a fast-growing governance practice • Collaborate across data engineering, analytics, and AI teams • Opportunity to shape both governance and modern data platform capabilities
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