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About Our Client: Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Enterprise/Integration Architect - AWS & Healthcare Interoperability Location: Remote – U.S. with travel to Jefferson City, MO (as directed) About Us : Known for “Delighting the Client” through performance,…
ABOUT OUR CLIENT Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using tools like Dagster, ClickHouse, dbt, and Apache Iceberg to ensure reliable, high-quality data for analytics and AI-driven insights.
The Chief Platform Engineer will lead the strategic technical direction and design of Westpac's data platform ecosystem, including Lakehouse and data warehouse capabilities. The role focuses on driving platform reliability, cost optimization, and the adoption of AI and agentic automation while mentoring senior engineering teams.
The Chief Engineer, Data Platforms will lead the strategic technical direction for Westpac's data ecosystem, overseeing the design of Lakehouse and data warehouse architectures. The role focuses on driving large-scale migrations, optimizing performance and cost, and implementing DevSecOps practices.
Chief Architect leading a Databricks practice at a tech consultancy—designing Lakehouse platforms, owning enterprise architecture, leading large-scale cloud/data migrations, and mentoring engineering teams across APAC, with hands-on Spark work.
The Azure Data Platform Engineer will design and build scalable data pipelines, lakehouse solutions, and data models using Azure and Fabric. The role involves collaborating with data scientists and stakeholders to deliver data-driven outcomes within a hybrid work environment.
The Senior AWS Data Platform Engineer will design and implement scalable, cloud-native data pipelines using AWS services, Kafka, and Apache Flink. This role involves providing technical leadership to build robust batch and real-time data processing solutions.
Senior Data Engineer at a tech consultancy building cloud-native data platforms and AI-powered data products using Snowflake, Databricks, AWS, and Azure, working directly with enterprise clients in Australia.
This Senior Data Engineer role involves architecting and developing scalable, cloud-native data platforms on AWS using Python, SQL, and distributed processing tools. The position focuses on building robust data pipelines, implementing data governance, and providing technical leadership within an engineering team.
About Sovrn Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business…
Build and maintain scalable data pipelines and lakehouse systems for AI-driven analytics and ML at a consumer tech company with 97.8M users.
Senior Backend Python engineer designing and evolving corporate AI assistants (ATS, internal platforms) using LangGraph, LangChain, microservices, and distributed systems in a fully remote role.
Build and operate Cyera's next-generation data platform, designing scalable Spark-on-Kubernetes infrastructure, Apache Iceberg lakehouse storage, and Airflow orchestration to power AI security products.
This senior Solution Architect role involves leading large-scale Databricks implementations and advising enterprise clients on Lakehouse platform architecture. The position requires hands-on expertise in distributed computing, cloud infrastructure, and CI/CD pipelines to optimize production-grade data systems.
Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success.…
The Principal DevOps Engineer will lead the architecture, scaling, and reliability of the company's Azure-based AI-native cybersecurity platform. This role focuses on building robust CI/CD pipelines, managing containerized microservices, and driving SRE practices to support high-volume security data processing.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
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