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XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off…
Migrates and adapts existing data management capabilities in an Azure-based environment, focusing on replicating backend functionalities using Python, Django, and MongoDB while integrating REST APIs and processing data with pandas/NumPy.
Designs and governs enterprise data models, canonical layers, and integration standards for Salesforce, Snowflake, and NetSuite to support analytics, AI, and automation across ConnectWise’s internal systems.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Lead enterprise data governance at a provincial regulator, shaping policies and frameworks to ensure compliant, high-quality data use across analytics and AI initiatives.
The Data Governance Lead will develop and implement enterprise-wide data governance frameworks, policies, and standards to ensure data integrity and compliance at the Alcohol and Gaming Commission of Ontario. This role involves collaborating with stakeholders to mature data management practices, oversee the enterprise data catalogue, and support secure data usage for analytics and AI initiatives.
The Data Solutions Architect will evolve and scale the enterprise data platform using the Microsoft stack (Fabric, Power BI, Power Platform) to support real estate operations and AI initiatives. The role involves integrating complex data sources like Yardi ERP and IoT systems while championing data governance and modernizing reporting.
The Data Prioritization Analyst will collaborate with business units and data teams to identify and document Critical Data Elements (CDEs) for financial reporting and regulatory compliance. The role involves managing metadata in Collibra and ensuring data quality standards are met across the organization.
Lead data governance initiatives for Ontario’s AGCO, developing frameworks, policies, and processes to ensure compliant, high-quality data management across gaming, alcohol, and cannabis sectors. Focus on risk mitigation, stakeholder collaboration, and aligning data governance with strategic priorities.
The Senior Data Architect will lead the design and implementation of enterprise data and analytics solutions, including data lakes and cloud-native ecosystems, at ICBC. The role involves establishing architecture standards, driving cloud modernization, and mentoring teams to support business intelligence initiatives.
The Azure Databricks Architect will design and scale an enterprise Lakehouse environment, focusing on performance tuning, cost optimization, and data governance using Unity Catalog. The role involves collaborating with engineering and security teams to build robust, secure data pipelines within the Azure ecosystem.
The Senior Data Architect will lead the design and implementation of enterprise data and analytics solutions, including data lakes and cloud-native ecosystems, to support business intelligence functions. The role involves establishing architecture standards, driving cloud modernization, and providing technical leadership across data governance and engineering teams.
The Manager of Data & Analytics will serve as the senior leader accountable for ISCO's enterprise data strategy, governance program, analytics capabilities, and AI/ML roadmap. This role owns the end-to-end data…
The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures using Azure, Databricks, and PySpark. The role involves technical leadership, mentoring team members, and collaborating with cross-functional teams to deliver high-performance data solutions.
Designs and implements Adobe Experience Manager (AEM) architectures for enterprise digital marketing, integrating with Adobe Target, Analytics, and third-party systems while leading engineering teams.
The Senior Data Engineer will design, develop, and maintain scalable cloud-based data pipelines and products using Azure Databricks, PySpark, Python, and SQL. Working within an Agile DevOps team, the role focuses on building robust ETL/ELT processes and optimizing data platform architecture.
The Senior Data Engineer will design and deliver enterprise-grade data and AI platforms using Microsoft Azure, Databricks, and Apache Spark. This role involves building scalable data pipelines, implementing DevSecOps practices, and providing technical leadership to support analytics and machine learning initiatives.
The Data Architect will design, develop, and maintain scalable data architectures on Google Cloud Platform. The role involves building data pipelines, implementing data governance, and collaborating with engineering teams to optimize data systems.
Designs and builds scalable data pipelines and shared data products using BigQuery, dbt, and Python to power Wpromote’s marketing analytics platform, improving standardization and reliability across client solutions.
Build and maintain scalable data pipelines, cloud platforms, and AI/ML Ops solutions for a global financial firm, ensuring data quality, governance, and reliability across business units.
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