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Design and operate AWS-based infrastructure for a genomics data platform, scaling pipelines, storage, and ML services while improving observability and cost efficiency.
Build and automate data-reconciliation pipelines in Python/Databricks to detect and resolve discrepancies in banking trades, ensuring intraday controls and audit trails for Treasury products.
Build and maintain scalable data pipelines and backend services using Java, SQL, and distributed frameworks to support analytics and integration for financial clients.
Senior Data Engineer builds and scales cloud-based data pipelines on Databricks and Snowflake, modeling genomic data for analytics and AI/ML to support Illumina’s health-equity mission.
Principal Data Engineer designs and scales enterprise-grade data infrastructure and real-time pipelines to power AI-driven analytics and autonomous agents at Salesforce.
Lead business analysis for a global financial-services firm, translating stakeholder needs into Agile requirements, diagrams, and test plans while coordinating cross-team delivery in Jira and Confluence.
Lead a team to design and build a modern Azure-based data platform using Microsoft Fabric, enabling analytics and AI across a large cultural organisation.
Greet guests, take orders, serve food and drinks, and maintain a clean, welcoming atmosphere in a holiday park restaurant.
Build and maintain data pipelines using Databricks, PySpark, and Python to process and transform healthcare data for analytics and ML.
Principal AI & Data Architect at Pitney Bowes designs enterprise-scale AI and data platforms, sets standards for lakehouse/data mesh, MLOps/LLMOps, and governance to drive production-grade AI adoption across the business.
Build and maintain high-volume data pipelines between Snowflake and Databricks using PySpark and dbt, then deploy ML models on OpenShift with MLOps tooling like MLflow and Airflow.
Lead the architecture and modernization of enterprise-scale Azure data platforms (Databricks, Delta Lake, ADF) to power global procurement analytics and mentor engineers while driving AI-enabled automation and data quality improvements.
Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Design and prototype Databricks Lakehouse architectures for enterprise clients, building scalable data/AI platforms and guiding delivery teams on Delta Lake, Unity Catalog, and Mosaic AI.
Lead UI/UX and BI development for executive dashboards and analytics platforms, using Power BI, React/Angular, and D3.js to turn complex data into actionable insights for investment decisions.
Architect and lead the AgentExchange data platform, consolidating telemetry and analytics into a unified, LLM-native system with ML-powered signals for partners and leadership.
Designs and leads scalable ETL pipelines and Databricks-based data platforms for NASA, ensuring secure, reproducible, and maintainable data workflows with CI/CD and cloud-native tools.
Designs, deploys and optimizes cloud data platforms and AI solutions for customers, using OCI/AWS/Azure, Spark, Kubernetes and generative AI tools.
As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies, you will be responsible for defining and scaling the architecture for enterprise AI across cloud, edge, and…
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