{"schemaVersion":"jobsearcher.job.v1","id":"ec4769c0959c3208622e00e9","url":"https://jobsearcher.com/jobs/ec4769c0959c3208622e00e9","canonicalUrl":"https://jobsearcher.com/jobs/ec4769c0959c3208622e00e9","title":"Python Technical Architect/ Lead","description":"Sr Python DeveloperLocation: Auburn Hills, MI- OnsiteMandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow OrchestrationKey ResponsibilitiesData Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.Technical ExperienceHands-on Data Engineering: Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.CI/CD for Data Projects: Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment.Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles.Python Fluency: Ability to write object-oriented Python code manage dependencies, and follow industry best practices.Version Control: Proficiency with Git for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).Unix/Linux: Strong command-line skills in Unix-like environments.SQL: Solid understanding of SQL for data ingestion and analysis.Collaborative Development: Comfortable with code reviews, pair programming and using remote collaboration tools effectively.Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software.Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.","company":"Conflux Systems","rawCompany":"conflux systems","city":"Auburn Hills","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-06-09T03:10:44.527Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"Python Technical Architect/ Lead","description":"Sr Python DeveloperLocation: Auburn Hills, MI- OnsiteMandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow OrchestrationKey ResponsibilitiesData Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.Technical ExperienceHands-on Data Engineering: Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.CI/CD for Data Projects: Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment.Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles.Python Fluency: Ability to write object-oriented Python code manage dependencies, and follow industry best practices.Version Control: Proficiency with Git for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).Unix/Linux: Strong command-line skills in Unix-like environments.SQL: Solid understanding of SQL for data ingestion and analysis.Collaborative Development: Comfortable with code reviews, pair programming and using remote collaboration tools effectively.Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software.Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.","datePosted":"2026-06-09T03:10:44.527Z","dateModified":"2026-06-09T03:10:44.527Z","hiringOrganization":{"@type":"Organization","name":"Conflux Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Auburn Hills","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec4769c0959c3208622e00e9"},"url":"https://jobsearcher.com/jobs/ec4769c0959c3208622e00e9"}}