{"schemaVersion":"jobsearcher.job.v1","id":"25a68f58c9e510fa27e6cb21","url":"https://jobsearcher.com/jobs/25a68f58c9e510fa27e6cb21","canonicalUrl":"https://jobsearcher.com/jobs/25a68f58c9e510fa27e6cb21","title":"Data Engineering Manager","description":"About Dynatron Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealerships and service departments. Our proprietary analytics, automation, and AI-powered workflows help service leaders improve profitability, enhance customer satisfaction, and operate with greater efficiency. With strong momentum, expanding product capabilities, and growing market demand, we're scaling, and we're just getting started.\r\nThe Opportunity We're seeking an experienced and driven Data Engineering Manager to lead and scale Dynatron's data engineering organization. This is a high-impact leadership role responsible for building, operating, and evolving the data platforms that power analytics, reporting, machine learning, and AI-driven products across the business. You will lead teams across Data Engineering, Data Architecture, and Data Science enablement, owning delivery of reliable, scalable, and cost-efficient data systems that support both current operations and future growth. This is not a maintenance role. It is a delivery, innovation, and execution-focused leadership role for someone who thrives in complexity, values accountability, and consistently delivers outcomes. The ideal candidate brings deep technical credibility, strong people leadership, and the ability to partner effectively with executives, product leaders, and engineers to translate business priorities into durable data solutions.\r\nWhat You'll Do Data Strategy & Platform Leadership: Own and execute Dynatron's data engineering strategy aligned with business objectives and product roadmaps\r\nEvaluate and adopt emerging data technologies while balancing performance, scalability, and cost\r\nEnsure data platforms are built for long-term sustainability, extensibility, and operational excellence\r\nTeam Leadership & Development Lead, mentor, and scale a high-performing data engineering organization\r\nSet clear expectations, drive accountability, and foster a culture of continuous improvement\r\nSupport career growth through coaching, feedback, and merit-based development opportunities\r\nData Architecture & Engineering Delivery Oversee the design, implementation, and operation of data warehouses, data lakes, transactional databases, and pipelines\r\nGuide development of ETL/ELT workflows, APIs, real-time data streams, and analytics layers\r\nPartner closely with Data Science and ML teams to enable production-grade AI and ML workflows\r\nProject Execution & Operational Excellence Lead execution of data initiatives, ensuring on-time delivery within scope and budget\r\nEstablish and monitor KPIs, SLAs, and operational metrics across data systems\r\nIdentify opportunities to improve reliability, performance, and developer productivity\r\nStakeholder Partnership & Communication Act as a trusted partner to Product, Engineering, Analytics, and Executive leadership\r\nTranslate complex technical concepts into clear business implications and trade-offs\r\nProactively communicate risks, progress, and long-term impact\r\nGovernance, Security & Compliance Ensure data platforms adhere to security, privacy, and compliance requirements (SOC 2, PCI, GDPR, CCPA, etc.)\r\nImplement governance standards across data quality, access control, lineage, and retention\r\nWhat You Bring Technical & Leadership Experience 10+ years of hands-on experience in data engineering, with 4+ years leading teams and managing budgets (~$2M annually)\r\nProven experience designing and operating modern data platforms at scale\r\nStrong technical foundation across data architecture, pipelines, warehousing, and streaming systems\r\nTechnical Expertise Hands-on experience with tools such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (Snowflake, Databricks, Redshift)\r\nStrong proficiency in Python, SQL, and data modeling techniques\r\nExperience building and operating data platforms on AWS\r\nSolid understanding of real-time data processing, ML/AI enablement, and analytics architectures\r\nLeadership & Business Acumen Demonstrated ability to lead, inspire, and hold teams accountable\r\nStrategic mindset with the ability to align data initiatives to business outcomes\r\nStrong project management and execution discipline\r\nCommunication & Collaboration Clear, confident communicator with technical and non-technical stakeholders\r\nAbility to challenge ideas constructively and navigate differing viewpoints professionally\r\nHigh integrity, strong sense of urgency, and ownership mentality\r\nWhy Dynatron Opportunity to lead and shape the data backbone of a rapidly growing SaaS company\r\nHigh visibility role with direct impact on product, analytics, and AI strategy\r\nValues-driven culture grounded in accountability, urgency, collaboration, and results\r\nRemote-first environment with flexibility and autonomy\r\nCompensation & Benefits Base Salary: 160,000 - 190,000 / year\r\nBenefits Include\r\nComprehensive health, dental, and vision insurance\r\nEmployer-paid disability and life insurance\r\n401(k) with competitive company match\r\nFlexible vacation policy and 11 paid holidays\r\nProfessional development opportunities\r\nRemote-first culture with home office setup support\r\nJ-18808-Ljbffr","company":"Dynatron Software","rawCompany":"dynatron software","city":"Richardson","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:39:51.650Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Manager","description":"About Dynatron Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealerships and service departments. Our proprietary analytics, automation, and AI-powered workflows help service leaders improve profitability, enhance customer satisfaction, and operate with greater efficiency. With strong momentum, expanding product capabilities, and growing market demand, we're scaling, and we're just getting started.\r\nThe Opportunity We're seeking an experienced and driven Data Engineering Manager to lead and scale Dynatron's data engineering organization. This is a high-impact leadership role responsible for building, operating, and evolving the data platforms that power analytics, reporting, machine learning, and AI-driven products across the business. You will lead teams across Data Engineering, Data Architecture, and Data Science enablement, owning delivery of reliable, scalable, and cost-efficient data systems that support both current operations and future growth. This is not a maintenance role. It is a delivery, innovation, and execution-focused leadership role for someone who thrives in complexity, values accountability, and consistently delivers outcomes. The ideal candidate brings deep technical credibility, strong people leadership, and the ability to partner effectively with executives, product leaders, and engineers to translate business priorities into durable data solutions.\r\nWhat You'll Do Data Strategy & Platform Leadership: Own and execute Dynatron's data engineering strategy aligned with business objectives and product roadmaps\r\nEvaluate and adopt emerging data technologies while balancing performance, scalability, and cost\r\nEnsure data platforms are built for long-term sustainability, extensibility, and operational excellence\r\nTeam Leadership & Development Lead, mentor, and scale a high-performing data engineering organization\r\nSet clear expectations, drive accountability, and foster a culture of continuous improvement\r\nSupport career growth through coaching, feedback, and merit-based development opportunities\r\nData Architecture & Engineering Delivery Oversee the design, implementation, and operation of data warehouses, data lakes, transactional databases, and pipelines\r\nGuide development of ETL/ELT workflows, APIs, real-time data streams, and analytics layers\r\nPartner closely with Data Science and ML teams to enable production-grade AI and ML workflows\r\nProject Execution & Operational Excellence Lead execution of data initiatives, ensuring on-time delivery within scope and budget\r\nEstablish and monitor KPIs, SLAs, and operational metrics across data systems\r\nIdentify opportunities to improve reliability, performance, and developer productivity\r\nStakeholder Partnership & Communication Act as a trusted partner to Product, Engineering, Analytics, and Executive leadership\r\nTranslate complex technical concepts into clear business implications and trade-offs\r\nProactively communicate risks, progress, and long-term impact\r\nGovernance, Security & Compliance Ensure data platforms adhere to security, privacy, and compliance requirements (SOC 2, PCI, GDPR, CCPA, etc.)\r\nImplement governance standards across data quality, access control, lineage, and retention\r\nWhat You Bring Technical & Leadership Experience 10+ years of hands-on experience in data engineering, with 4+ years leading teams and managing budgets (~$2M annually)\r\nProven experience designing and operating modern data platforms at scale\r\nStrong technical foundation across data architecture, pipelines, warehousing, and streaming systems\r\nTechnical Expertise Hands-on experience with tools such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (Snowflake, Databricks, Redshift)\r\nStrong proficiency in Python, SQL, and data modeling techniques\r\nExperience building and operating data platforms on AWS\r\nSolid understanding of real-time data processing, ML/AI enablement, and analytics architectures\r\nLeadership & Business Acumen Demonstrated ability to lead, inspire, and hold teams accountable\r\nStrategic mindset with the ability to align data initiatives to business outcomes\r\nStrong project management and execution discipline\r\nCommunication & Collaboration Clear, confident communicator with technical and non-technical stakeholders\r\nAbility to challenge ideas constructively and navigate differing viewpoints professionally\r\nHigh integrity, strong sense of urgency, and ownership mentality\r\nWhy Dynatron Opportunity to lead and shape the data backbone of a rapidly growing SaaS company\r\nHigh visibility role with direct impact on product, analytics, and AI strategy\r\nValues-driven culture grounded in accountability, urgency, collaboration, and results\r\nRemote-first environment with flexibility and autonomy\r\nCompensation & Benefits Base Salary: 160,000 - 190,000 / year\r\nBenefits Include\r\nComprehensive health, dental, and vision insurance\r\nEmployer-paid disability and life insurance\r\n401(k) with competitive company match\r\nFlexible vacation policy and 11 paid holidays\r\nProfessional development opportunities\r\nRemote-first culture with home office setup support\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:39:51.650Z","dateModified":"2026-04-09T15:39:51.650Z","hiringOrganization":{"@type":"Organization","name":"Dynatron Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Richardson","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"25a68f58c9e510fa27e6cb21"},"url":"https://jobsearcher.com/jobs/25a68f58c9e510fa27e6cb21"}}