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Forward Deployed Engineer partners with enterprise data teams to design, deploy, and prove value for Granica’s AI infrastructure, troubleshooting distributed systems and translating feedback into product improvements.
Builds and maintains Azure-based data pipelines and Lakehouse architectures to ingest, transform, and model financial and operational data for clients, using Databricks, Data Factory, SQL, Python, and AI tools.
Designs and builds Azure Databricks-based data pipelines and governance for a multi-clinic healthcare provider, enabling HIPAA-compliant analytics and AI insights across clinical, financial, and operational domains.
Design and build scalable Azure data pipelines and Microsoft Fabric analytics solutions using PySpark, SQL, and lakehouse architecture to transform raw data into business insights.
Design and evolve GSK’s German data platform using Azure Databricks, SQL, and Power BI, and lead AI-driven analytics and automation initiatives.
Lead the design and deployment of scalable AI/GenAI solutions and petabyte-scale data platforms, from ingestion to production, using cloud, Spark, Databricks, and Snowflake.
Builds and migrates enterprise-scale Databricks lakehouses for financial clients, designing Spark-based pipelines, governance, and ETL workflows to enable AI risk models and agent systems.
Build and optimize data pipelines on Databricks, engineer datasets for AI models, and implement retrieval architectures while integrating generative AI capabilities.
ABOUT THE ROLE The Senior Data and Analytics Engineer leads the design and delivery of scalable, end-to-end data and analytics solutions that drive strategic business outcomes, enhance customer value, and enable…
Builds scalable cloud-native apps in Java/Python and integrates AI tools to automate coding, testing, and DevOps workflows for enterprise systems.
Design and deliver scalable Databricks Lakehouse architectures for enterprise customers, building prototypes and guiding adoption of data/AI solutions while translating tech into business outcomes.
Designs and governs scalable data architectures on Azure, migrating legacy systems to modern cloud platforms and enabling AI-driven analytics for public-sector clients.
Build and maintain scalable data pipelines and AI/ML platforms for a global biopharma company, integrating models into production and ensuring data reliability and governance.
Build and run production-grade ML platforms on AWS/Azure, turning research prototypes into reliable, scalable AI systems for global retail brands using Python, Databricks, Spark, and MLflow.
Lead the design and evolution of enterprise-scale data and AI architectures for large corporations, guiding cloud-based analytics and generative AI solutions across Azure, AWS, and GCP.
Lead a team of data engineers to build and maintain Sidley’s enterprise Databricks Lakehouse platform, setting technical standards and ensuring scalable, governed data solutions using PySpark, Delta Lake, and Azure Databricks.
Build and maintain scalable Azure-based data pipelines and ETL processes using Data Factory, Databricks, and Python to power AI and analytics solutions for global enterprises.
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Position Summary State Street’s Legal Department is seeking an Assistant Vice President, Legal Data Engineering to join Legal Operations. This role is responsible for the engineering and operational reliability of…
Leads a portfolio of data platforms and workflow solutions for real-estate transactions, defining strategy, roadmaps, and AI-driven improvements while mentoring product teams.
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