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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional. The Senior Data Architect Lead is responsible for leading the development and delivery of data software products, managing the flow of work using Kanban and / or SAFe Agile methodologies, and designing and implementing data architecture solutions to support business objectives.
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Principal Data Engineer / Architect. Data modeling, pipelines, and analysis in SQL (e.g. Snowflake, BigQuery, Databricks, Redshift) Diverse experience building scalable solutions using cloud services (AWS) such as: Airflow, Kinesis, Cloudwatch, Github action, Lambda, SQS, SNS, ECS, ECR, Containerization using Docker: that support processes such as: code deployments, data collection, streaming, data transformation, workflow automation, orchestration.
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Job Title: Azure Data Architect. More than 8+ years of relevant experience in data engineering tools like Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks.
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Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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The candidate must be a certified AWS Solution Architect-Professional. The AWS Senior Cloud Solutions Architect will be a technology planning and governance role with enterprise level influence at Guidehouse.
$150,600 - $225,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Role: Data and AI Architect - Remote. Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Certifications such as Dell EMC Proven Professional, Pure Storage Certified Architect, or equivalent are a plus. Proficiency in scripting and automation using languages such as PowerShell, Python, or Bash. Experience with data protection technologies, including backups, snapshots, replication, and disaster recovery.
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Job Title: Data and AI Consultant/Architect. Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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The Infrastructure Architect assures that solutions can be implemented across multiple cloud, hybrid setups and on-prem environments and that authentication, data encryption and authorization security requirements are addressed by baseline data and applications infrastructure patterns.
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The Cloud Security Architect will play a critical role in ensuring the security of our digital infrastructure, applications, and data assets. Architecture Design: Plan, Research and Design secure cloud architecture solutions for our LAN and Azure environments, considering factors such as identity and access management, network security, data protection, and disaster recovery.
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The Big Data Cloud Solution Architect will be responsible for guiding the full lifecycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and Test and Deployment in Cloud Infrastructures.
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Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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data architect jobs Title: architect Company: Ford in New York, NY
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