{"schemaVersion":"jobsearcher.job.v1","id":"07014f22a0edfd15f71ad8be","url":"https://jobsearcher.com/jobs/07014f22a0edfd15f71ad8be","canonicalUrl":"https://jobsearcher.com/jobs/07014f22a0edfd15f71ad8be","title":"Technology Architect Azure Databricks Data Engineering Cloud Analytics","description":"Technology Architect – Azure DatabricksWe are seeking an experienced Technology Architect – Azure Data Engineering to lead the design, architecture, and implementation of enterprise-scale cloud data platforms for our client in Frisco, TX. This is an onsite opportunity requiring a highly skilled professional with extensive experience in Azure Databricks, Python, SQL, Spark/PySpark, and modern cloud-based data engineering solutions. The ideal candidate will have a strong background in architecting scalable data lakes, analytics platforms, and enterprise data pipelines using Azure cloud technologies. You will be responsible for designing end-to-end data architectures, building high-performance data processing frameworks, enabling real-time and batch data ingestion, and delivering reliable analytics solutions that support business intelligence and advanced analytics initiatives.Required Skills10–15+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.Hands-on experience with Azure Databricks and Delta Lake.Strong programming expertise in Python, SQL, Spark, and PySpark.Experience designing and implementing scalable data pipelines using Azure Data Factory (ADF) and Apache Airflow.Strong understanding of Data Warehousing, Data Modeling including Star Schema and Snowflake Schema.Experience building enterprise Data Lake and Analytics Platform solutions.Hands-on experience with Azure and/or AWS Cloud platforms.Knowledge of Apache Kafka, real-time streaming, and Big Data technologies.Experience with data integration, ETL/ELT development, and performance optimization.Excellent analytical, communication, and problem-solving skills.Preferred QualificationsCertifications in Databricks and/or Microsoft Azure Data Engineering.Experience with cloud-native data architecture and modern analytics platforms.Familiarity with DevOps, CI/CD pipelines, infrastructure automation, and cloud security best practices.Exposure to AI/ML data engineering workloads is a plus.Key ResponsibilitiesDesign and architect scalable cloud-based data platforms using Azure Databricks and Delta Lake.Develop high-performance ETL/ELT pipelines using Python, SQL, Spark, and PySpark.Build and optimize data ingestion frameworks using Azure Data Factory (ADF) and Apache Airflow.Design enterprise data warehouse solutions and implement efficient data models using Star and Snowflake schemas.Develop scalable data lake architectures to support reporting, analytics, and business intelligence initiatives.Integrate structured and unstructured data from multiple enterprise systems.Implement real-time data processing and streaming solutions using Kafka and related technologies.Collaborate with business stakeholders, data engineers, architects, and analytics teams to define technical solutions.Optimize data processing performance, scalability, security, and operational efficiency.Establish best practices for data governance, architecture standards, and cloud-native data engineering.Top ResponsibilitiesArchitect and implement enterprise-scale Azure Databricks and cloud data engineering solutions.Design scalable ETL/ELT pipelines, data lakes, and analytics platforms using modern cloud technologies.Provide technical leadership, mentor engineering teams, and collaborate with stakeholders to deliver secure, reliable, and high-performing data solutions.Preferred Candidate ProfileStrong experience designing enterprise cloud data architectures and analytics platforms.Expertise in Azure Databricks, Delta Lake, Spark/PySpark, Python, and SQL.Deep understanding of data warehousing concepts, data modeling, and cloud-native architectures.Hands-on experience with Azure Data Factory, Apache Airflow, Kafka, and streaming technologies.Excellent leadership, stakeholder management, and communication skills.Ability to drive architecture decisions, mentor development teams, and deliver high-quality enterprise data solutions in Agile environments.","company":"Argyle Infotech","rawCompany":"argyle infotech","city":"Frisco","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-11T13:13:09.151Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technology Architect Azure Databricks Data Engineering Cloud Analytics","description":"Technology Architect – Azure DatabricksWe are seeking an experienced Technology Architect – Azure Data Engineering to lead the design, architecture, and implementation of enterprise-scale cloud data platforms for our client in Frisco, TX. This is an onsite opportunity requiring a highly skilled professional with extensive experience in Azure Databricks, Python, SQL, Spark/PySpark, and modern cloud-based data engineering solutions. The ideal candidate will have a strong background in architecting scalable data lakes, analytics platforms, and enterprise data pipelines using Azure cloud technologies. You will be responsible for designing end-to-end data architectures, building high-performance data processing frameworks, enabling real-time and batch data ingestion, and delivering reliable analytics solutions that support business intelligence and advanced analytics initiatives.Required Skills10–15+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.Hands-on experience with Azure Databricks and Delta Lake.Strong programming expertise in Python, SQL, Spark, and PySpark.Experience designing and implementing scalable data pipelines using Azure Data Factory (ADF) and Apache Airflow.Strong understanding of Data Warehousing, Data Modeling including Star Schema and Snowflake Schema.Experience building enterprise Data Lake and Analytics Platform solutions.Hands-on experience with Azure and/or AWS Cloud platforms.Knowledge of Apache Kafka, real-time streaming, and Big Data technologies.Experience with data integration, ETL/ELT development, and performance optimization.Excellent analytical, communication, and problem-solving skills.Preferred QualificationsCertifications in Databricks and/or Microsoft Azure Data Engineering.Experience with cloud-native data architecture and modern analytics platforms.Familiarity with DevOps, CI/CD pipelines, infrastructure automation, and cloud security best practices.Exposure to AI/ML data engineering workloads is a plus.Key ResponsibilitiesDesign and architect scalable cloud-based data platforms using Azure Databricks and Delta Lake.Develop high-performance ETL/ELT pipelines using Python, SQL, Spark, and PySpark.Build and optimize data ingestion frameworks using Azure Data Factory (ADF) and Apache Airflow.Design enterprise data warehouse solutions and implement efficient data models using Star and Snowflake schemas.Develop scalable data lake architectures to support reporting, analytics, and business intelligence initiatives.Integrate structured and unstructured data from multiple enterprise systems.Implement real-time data processing and streaming solutions using Kafka and related technologies.Collaborate with business stakeholders, data engineers, architects, and analytics teams to define technical solutions.Optimize data processing performance, scalability, security, and operational efficiency.Establish best practices for data governance, architecture standards, and cloud-native data engineering.Top ResponsibilitiesArchitect and implement enterprise-scale Azure Databricks and cloud data engineering solutions.Design scalable ETL/ELT pipelines, data lakes, and analytics platforms using modern cloud technologies.Provide technical leadership, mentor engineering teams, and collaborate with stakeholders to deliver secure, reliable, and high-performing data solutions.Preferred Candidate ProfileStrong experience designing enterprise cloud data architectures and analytics platforms.Expertise in Azure Databricks, Delta Lake, Spark/PySpark, Python, and SQL.Deep understanding of data warehousing concepts, data modeling, and cloud-native architectures.Hands-on experience with Azure Data Factory, Apache Airflow, Kafka, and streaming technologies.Excellent leadership, stakeholder management, and communication skills.Ability to drive architecture decisions, mentor development teams, and deliver high-quality enterprise data solutions in Agile environments.","datePosted":"2026-09-11T13:13:09.151Z","dateModified":"2026-09-11T13:13:09.151Z","hiringOrganization":{"@type":"Organization","name":"Argyle Infotech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Frisco","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07014f22a0edfd15f71ad8be"},"url":"https://jobsearcher.com/jobs/07014f22a0edfd15f71ad8be"}}