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Architect enterprise grade batch and real-time data pipelines and data processing solutions in AWS or Azure. A Data Architect who shares our passion for electric vehicles and their ability to positively impact transportation, air quality and energy independence for generations to come.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We're looking for an experienced Data Architect to join our Data Platform Engineering team.
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Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks/Apache Spark); preferably Databricks certified; experience driving technical workshops with technical and business clients to derive value added services and implementation.
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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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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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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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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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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Job Title: AWS Data Infrastructure Architect Location: Alameda, CA (Onsite ) Duration: Full time Hire Key Responsibilities: Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
$140,800 - $234,600 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.
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Architect, deploy, and optimize Cloud Solutions to evolve our technology stack, including Multi-Account strategy, best practices around data access, IAM and security rules, and the best approaches for optimized and secure access to our infrastructure.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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life data architect jobs Title: architect Company: Deloitte in Madison-heights, Michigan
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