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Design and deliver product data products on Databricks lakehouse, owning ingestion, transformation, and serving layers. Solve schema governance, identity resolution, sessionisation, and high-volume event pipelines. Define engineering standards, own data quality and contracts, and mentor engineers while translating complex event landscapes into reliable data products for analytics and AI use cases.
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Lead design and delivery of enterprise data products on Databricks lakehouse, owning ingestion, transformation, and serving layers. Solve entity resolution, master data, and multi-ERP/CRM integration problems. Define engineering standards (dbt, testing, CI/CD, observability), enforce data contracts and quality, mentor engineers, and translate complex multi-system landscapes into reliable, governed datasets for analytics and downstream AI.
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The Business Development Executive will enhance product recommendations within the DSA sector, build relationships, and increase product awareness through presentations and event representation.
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Lead the analytics function with a decision-first mindset, designing data products and self-service experiences to improve decision making across all business domains. Manage BI functions and promote data literacy while mentoring the analytics team.
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The VP, Product Data will define product telemetry strategies, build data models, lead analytics initiatives, and ensure governed data products for enhancing user insights, impacting learner outcomes.
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Oversee compliance and reporting for statutory financial statements, lender reporting, debt covenants, and intercompany accounting; manage financial oversight and audit processes.
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The Senior Data Architect will design and scale a unified data ecosystem, lead Lakehouse architecture, ensure data consistency, and drive insights across the business.
