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Experience: 12 to 15 Years , Minimum 5+ Years of experience in Azure Data Architect. Job Title: Azure Data Architect. Cloud Architect with experience in Azure ADF, ADLS Gen2, Databricks, Synapse, PySpark.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle.
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We have an opportunity for Data Architect with Databricks Architect with one of our clients for NYC, NY. Should have Strong experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
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The Data Platform Architect will be responsible for developing robust data architecture, overseeing database management and optimization, and ensuring our data solutions' security, reliability, and performance.
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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.
$137,200 - $276,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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As an Enterprise Azure Databricks Architect, you are responsible for establishing a strategic technology direction, architecture, and a scalable data solution using Azure Databricks.
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Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer). - Familiarity with additional data processing frameworks/tools like Apache Spark, dbt, or Kafka.
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Role:- Sr. Solution Architect Data & Analytics / Must have Azure / Data Fabric / Data Bricks. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure.
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ANALYTICS) AND (DATA) AND ("AI/ML" OR "ML/AI" OR "ARTIFICIAL INTELLIGENCE" OR AI) AND (AUTOMATION OR MODEL OR MAPPING OR BUSINESS or COE) AND (DATABRICKS OR "DATA BRICKS") AND (DWC OR "DATA WAREHOUSE" OR LAKEHOUSE OR "WAREHOUSE CLOUD" OR CLOUD) AND ("SAP CLOUD" OR SAC) AND (AZURE OR ADLS OR ADF OR SNOWFLAKE OR "AZURE ECOSYSTEM" OR "AZURE ML") AND ("GEN AI" OR GENAI OR "GENERATIVE AI") AND (ARCHITECT OR ARCHITECTURE OR ENTERPRISE OR ENGINEER.
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Note: We need profiles with the combination of Data Architect + Azure SQL + Azure Data Brick + Hyperscale + PySpark + Snaplogic (Preferred) + Informatica. Role: Azure Enterprise Data Architect.
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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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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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Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (SDLC) (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other Azure cloud environments.
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The successful Architect will be able to drive high priority data initiatives using AWS, Databricks, and Snowflake. Experience with DevOps, and DataOps (GitHub Actions, Terraform, Azure DevOps, data governance tools) are a plus.
$145,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
azure architect data jobs Title: asset management in New York, NY
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