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Leads the enterprise AI platform architecture at a pharmaceutical company, defining standards for RAG pipelines, agentic AI, FinOps, and security while ensuring compliance with regulated environments.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Designs and leads AWS-based data and AI platforms for public-sector and regulated clients, integrating ML, GenAI, and streaming pipelines while ensuring security and governance.
Design and deliver cloud-native data platforms with AI/ML integration for enterprise clients, focusing on scalable analytics, real-time processing, and governance.
Build and maintain cloud-based data pipelines and ETL jobs for clients, using Python, AWS/Azure services, and infrastructure-as-code tools like Terraform.
Design and deliver a Microsoft Fabric analytics platform, owning lakehouse architecture, Power BI semantic models, and Azure security boundaries for scalable, secure data solutions.
Principal architect defines the Microsoft Fabric-based data platform, owning lakehouse design, semantic models, Azure security, and multi-tenant publishing for enterprise-scale analytics.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
About the role The Data Engineering department at Tesco Technology drives data processing across our retail and technology operations. The team analyzes order and delivery data to optimize logistics, manages critical…
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Own and improve a data platform that powers analytics, handling overnight processing, SQL Server, Airflow, and AI-assisted pipelines to ensure reliability and data quality.
Designs enterprise-scale data platforms and AI solutions for financial clients using Microsoft Fabric, Azure AI, and generative AI to drive business outcomes and Azure consumption.
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Lead a team building and optimizing secure, scalable data pipelines and platforms using Python, PySpark, SQL, and Airflow to support analytics and reporting across JPMorgan Chase’s corporate functions.
Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Supporting pre-sales process Mentoring more junior…
Designs and implements Databricks-based lakehouse architectures for healthcare data, using PySpark, Delta Lake, and cloud platforms like Azure/AWS/GCP.
About the Role The Technical Release Manager will own end-to-end release governance, deployment planning, production readiness, and change management across the EDO ecosystem, including Azure Databricks Lakehouse,…
Builds scalable Lakehouse solutions on Databricks using Delta Lake, Unity Catalog, and cloud-native services, writing Python/SQL pipelines and automating deployments with DABs and CI/CD.
Build and maintain a Microsoft Fabric Lakehouse and Azure Synapse warehouse, designing scalable ETL/ELT pipelines, dimensional models, and APIs to deliver reliable behavioral-health data for analytics and reporting.
Designs and builds scalable data pipelines and lakehouse/warehouse architectures using Spark to deliver analytics-ready datasets for business insights.
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