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Senior Software Engineer
Evolent
Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
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SAP Consultant
Tiger Analytics Inc.
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine…
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Senior Software Engineer, Data Platform
Commure
- Architect the data lake on object storage using an open table format (Iceberg, Delta Lake, or Hudi) with Parquet, enabling both batch and streaming workloads and clean separation of…
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Enterprise Solution Architect
Insight Global
…Kubernetes and Red Hat OpenShift; cloud platforms and services in AWS and Azure; and hybrid IaaS, PaaS, and SaaS environments. Experience with Red Hat technologies, InterSystems integration…
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Data & Solution Architect (Databricks and Palantir Platforms)
Insight Global
Insight Global is seeking a highly capable Data & Solution Architect to lead the design, development, and deployment of modern data, analytics, and artificial intelligence solutions for…
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Sr Databricks Data Engineer
Deloitte US
5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
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SAP Consultant
Tiger Analytics Inc.
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine…
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Lead Agentic AI Solutions Engineer
CVS Health
…production-ready applications that combine modern software engineering practices with generative AI and agentic frameworks. This role will lead the engineering and operationalization of…
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Data and Insights Architect
PBF Holding Co.LLC
…refineries and related facilities. We are seeking a talented Data and Insights Architect to join our team as a pivotal member that would play a key role here at PBF Energy. This role would…
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AI Architect (Technical Lead)
Hatch IT
The ideal candidate is a hands-on AI architect and technical leader with extensive experience designing and delivering enterprise AI applications. You are equally comfortable defining…
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Technical Architect - Snowflake (1317)
Axtria, Inc.
We are looking for a hands-on Technical Architect to own the target-state architecture, lead phased migration programs, and ensure the platform is stable, high-quality, and ready for…
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Director, Enterprise Architecture
USA Donaldson Company Inc.
Architect the foundations for enterprise AI, data and analytics, automation, and modern integration, including the platform, security, and responsible-AI patterns needed to scale safely.
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Senior Software Engineer
Evolent
Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
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Databricks Solution Architect
EXL Talent Acquisition Team
Solution Architect, Data Platform (Databricks)
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Senior Manager, AI Architecture
J&J Family of Companies
…technology roadmap, establishing reference architectures and engineering patterns, evaluating emerging capabilities, and translating priority opportunities into practical enterprise…
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Solutions and Lakehouse Architect
OpenDataJobs
Peregrine Advisors is a rapidly growing AI and data innovation hub helping government solve hard problems and deliver better outcomes. We work across the full lifecycle - from strategy and…
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Databricks Architect
LED FastStart
Are you an experienced data architect who enjoys designing modern, scalable data platforms and solving complex data challenges? Do you combine deep Databricks expertise with hands-on…
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Solution Architect, Delivery (Databricks)
Jobgether
As a Solution Architect, Delivery, you will provide strategic technical leadership in designing and delivering complex, enterprise-scale data platforms and Lakehouse solutions. You will…
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Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG)
Capital One
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines