
201 - 500 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
Billigence is a data-focused company that specializes in advisory services, training, and solutions to empower businesses with data. They offer services in data governance, data visualization, data science, AI, and more, providing tools and insights to help businesses harness their data's full potential. With a strong focus on data strategy and governance, Billigence partners with leading technology platforms like Snowflake, Alteryx, and H2O. ai to deliver bespoke solutions tailored to customer needs across various industries. Their expertise extends across telecommunications, media, and financial services, ensuring clients can navigate complex data landscapes efficiently.
🔥 0 minutes ago
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201 - 500 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
Billigence is a data-focused company that specializes in advisory services, training, and solutions to empower businesses with data. They offer services in data governance, data visualization, data science, AI, and more, providing tools and insights to help businesses harness their data's full potential. With a strong focus on data strategy and governance, Billigence partners with leading technology platforms like Snowflake, Alteryx, and H2O. ai to deliver bespoke solutions tailored to customer needs across various industries. Their expertise extends across telecommunications, media, and financial services, ensuring clients can navigate complex data landscapes efficiently.
• Design and implement enterprise data governance capabilities across Azure and Databricks environments. • Lead the implementation and optimisation of Databricks Unity Catalog. • Define and implement metadata management, data lineage, and data catalogue capabilities. • Design governance operating models, standards, policies, and controls. • Configure and integrate governance tooling including Collibra and Microsoft Purview. • Develop business, technical, and end-to-end lineage frameworks. • Define data ownership, stewardship, classification, and access management processes. • Partner with Data Engineering, Architecture, Security, and Business teams to embed governance across the platform. • Support stakeholder workshops, requirements gathering, and governance adoption activities. • Produce architecture documentation, governance frameworks, solution designs, and implementation roadmaps. • Support governance best practices across data quality, metadata management, security, and compliance.
• Strong experience working within Azure data environments. • Proven experience with Databricks and modern cloud data platforms. • Hands-on experience implementing and managing Databricks Unity Catalog. • Experience designing and implementing enterprise data governance frameworks. • Strong understanding of metadata management, data lineage, and data catalogue solutions. • Experience engaging with both technical and business stakeholders. • Strong knowledge of data architecture and cloud data platform design. • Experience defining governance controls, standards, and operating models. • Strong communication, facilitation, and stakeholder management skills.
• Inclusion and Equal Opportunities • Ability to work with a diverse team
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