Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Supervisor for Data Architecture & AI Enablement designing data layers and architectures for AI solutions. Leading team of data engineers in partnership with application architects for implementation.
Responsibilities
- design and build the data layer and reference architectures that power AI in Business Applications solutions
- help lead a small team of data engineers/BI developers
- partner with application architects (D365, NetSuite, etc) to take use‑cases from discovery → pilot → production with the right governance and ops in place
Requirements
- 5+ years hands‑on data engineering/analytics (architecting and building ELT pipelines, models, and dashboards)
- at least 2 years leading small technical teams/squads
- proficiency with Microsoft Fabric (or Azure Synapse/Databricks + Power BI)
- strong understanding of data governance (catalog/lineage, quality, security, privacy)
- experience operationalizing AI/analytics for ERP/CRM scenarios (preferably Dynamics 365 and/or NetSuite)
- strong knowledge of Power Platform tools, including Power Automate, Power Apps, Adaptive Cards, and Custom Connectors
- familiarity with Azure AI services such as Azure OpenAI, Azure Functions, and Logic Apps
- proficiency in Python, TypeScript, JavaScript, or similar programming languages
- solid understanding of REST APIs, JSON, and Model Context Protocol (MCP)
Benefits
- flexibility in your schedule
- empowerment to balance life’s demands
- competitive benefits and compensation package
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