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Lead the design and implementation of identity services and data governance platforms, ensuring trusted and privacy-safe data across the organization.
Drive architectural decisions and establish engineering standards as a Principal Data Platform Engineer for a next-generation AI-first data platform in the AdTech ecosystem.
Drive architectural decisions and establish engineering standards as a Principal Data Platform Engineer, building a next-generation AI-first data platform for a global AdTech ecosystem.
Lead the design and development of scalable backend systems using Java, focusing on distributed systems and big data processing to drive impactful solutions.
Lead the design and implementation of scalable backend systems using Java, focusing on distributed systems and big data processing to drive growth and innovation.
Lead the design and development of scalable backend systems using Java, focusing on distributed systems and big data processing to enhance performance and reliability.
Seeking a proactive Lead AI & Data Analytics Engineer to drive the development of AI-enabled analytics products for federal acquisition processes, enhancing decision-making and operational efficiency.
Job Application for Principal Data Engineer - AI at Anaplan Back to jobs Principal Data Engineer - AI Pennsylvania-Remote, United States Apply At Anaplan, we are a team of innovators focused on optimizing business.
As a Staff Data Engineer, you will design and build data solutions, manage cloud data infrastructure, and ensure data quality and governance across systems.
As a Staff Data Engineer on the Distribution Center Solutions team, you'll lead the design and implementation of data integrations to enhance our suite of DC products.
Weโre looking for an experienced Data Integration Engineer to join our Engineering Services team. In this role, you will leverage your skills to learn and deliver robust data flows.
As a Principal Data Engineer, you will lead efforts to modernize data systems, create sustainable data contracts, and implement scalable data pipelines for enhanced analytics and product solutions.
The Lead Data Engineer will modernize data ingestion and automation for a healthcare data platform, building scalable solutions on Google Cloud Platform to enhance enterprise analytics.
As a Lead Data Governance Engineer, you will define and execute data governance policies while developing automated tooling for data mesh operations and mentoring team members.
Lead the data engineering team to design and implement scalable cloud-based data solutions on Google Cloud Platform, ensuring best practices in data pipeline development and architecture.
Lead the design and implementation of scalable data ingestion architectures using Snowflake and AWS, ensuring high-quality data pipelines for critical business workflows.
Lead the design and implementation of ETL pipelines and data transformation processes, ensuring data readiness for AI workloads while mentoring team members in best practices.
Lead the design and development of ETL pipelines and data transformation processes, ensuring data integrity and readiness for AI workloads across multiple ERP systems.
Lead the design and development of ETL pipelines and data transformation processes, ensuring data quality and integrity for AI and analytics workloads using Microsoft Fabric.
As a Lead Data Engineer, you will design and implement ETL pipelines, optimize data models, and ensure data quality for AI and analytics workloads using Microsoft Fabric.
Lead the design and implementation of scalable data ingestion architectures in Snowflake, ensuring high-quality data pipelines for critical business workflows.
Lead the design and implementation of scalable data ingestion architectures in Snowflake, ensuring high-quality and reliable data pipelines for critical business workflows.
Lead the Data & Analytics team in Customer Care by coordinating initiatives, delivering insights, and fostering a data-driven culture to enhance business decision-making.
Design, develop, and optimize data solutions as a Lead Data Engineer, focusing on building reliable data pipelines and ensuring data quality for analytics and business workflows.
