The Dignify Solutions, LLC
Azure Data Architect - Remote With Travel
The Dignify Solutions, LLC, New York, New York, United States
Overview
Azure Data Architect - Remote With Travel Job posting note: contains multiple duplicates and unrelated postings. This refined version focuses on the core role and qualifications for an Azure Data Architect. Responsibilities
Design and implement secure, scalable, and highly available cloud-based data solutions on Azure (data warehouse, data lake, and data marketplace) using Databricks, PySpark, ADF, ADLS Gen2, Synapse, and related tools. Lead data analytics initiatives, including data integration, data orchestration, and data modeling for reporting, AI, and machine learning. Collaborate with clients and teams to architect data pipelines, data models, and governance frameworks within Azure and, when applicable, AWS. Assess and estimate cloud data architecture efforts, provide guidance on best practices, and ensure compliance with security and reliability requirements. Evaluate and implement data fabrics, mesh, and lakehouse patterns as part of modern data architecture. Qualifications
15+ years in data analytics consulting with at least 10+ years in a Senior Architect role within a consulting firm, focusing on data analytics, advanced analytics, and cloud. 5-7+ years designing and solutioning Azure Databricks, PySpark, data engineering, data integration, data orchestration, and data marketplace. 7+ years of experience designing Azure data warehouses; proven ability to design and implement secure, scalable, and highly available cloud-based solutions with Azure. Experience as a Cloud Architect with Azure (ADF, ADLS Gen2, Databricks, Synapse, PySpark) and with AWS as applicable. Proficiency in Python, R, SQL and cloud platforms (Azure, AWS); strong data analytics tooling experience. Deep technical knowledge of major cloud platforms (Azure, AWS, GCP) and data analytics technologies, methodologies, and best practices. Strong experience with BI tooling, especially Power BI. Relevant certifications in Azure, Databricks, and Big Data are a plus. Experience integrating diverse data sources with Data Warehouses and Data Lakes for reporting, AI, and ML. Experience creating data warehouses and data lakes for reporting, AI, and machine learning. Experience with Data Fabric, Data Mesh, and Lakehouse implementations. Location and Type
Remote with travel New York, NY area postings in the original listing were included but are not authoritative for this refined description. Note: Referrals and job alerts features from the original posting have been omitted to maintain focus on the role and requirements. #J-18808-Ljbffr
Azure Data Architect - Remote With Travel Job posting note: contains multiple duplicates and unrelated postings. This refined version focuses on the core role and qualifications for an Azure Data Architect. Responsibilities
Design and implement secure, scalable, and highly available cloud-based data solutions on Azure (data warehouse, data lake, and data marketplace) using Databricks, PySpark, ADF, ADLS Gen2, Synapse, and related tools. Lead data analytics initiatives, including data integration, data orchestration, and data modeling for reporting, AI, and machine learning. Collaborate with clients and teams to architect data pipelines, data models, and governance frameworks within Azure and, when applicable, AWS. Assess and estimate cloud data architecture efforts, provide guidance on best practices, and ensure compliance with security and reliability requirements. Evaluate and implement data fabrics, mesh, and lakehouse patterns as part of modern data architecture. Qualifications
15+ years in data analytics consulting with at least 10+ years in a Senior Architect role within a consulting firm, focusing on data analytics, advanced analytics, and cloud. 5-7+ years designing and solutioning Azure Databricks, PySpark, data engineering, data integration, data orchestration, and data marketplace. 7+ years of experience designing Azure data warehouses; proven ability to design and implement secure, scalable, and highly available cloud-based solutions with Azure. Experience as a Cloud Architect with Azure (ADF, ADLS Gen2, Databricks, Synapse, PySpark) and with AWS as applicable. Proficiency in Python, R, SQL and cloud platforms (Azure, AWS); strong data analytics tooling experience. Deep technical knowledge of major cloud platforms (Azure, AWS, GCP) and data analytics technologies, methodologies, and best practices. Strong experience with BI tooling, especially Power BI. Relevant certifications in Azure, Databricks, and Big Data are a plus. Experience integrating diverse data sources with Data Warehouses and Data Lakes for reporting, AI, and ML. Experience creating data warehouses and data lakes for reporting, AI, and machine learning. Experience with Data Fabric, Data Mesh, and Lakehouse implementations. Location and Type
Remote with travel New York, NY area postings in the original listing were included but are not authoritative for this refined description. Note: Referrals and job alerts features from the original posting have been omitted to maintain focus on the role and requirements. #J-18808-Ljbffr