Senior DataOPS Engineer

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. \n\nOur people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow \u2013 all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. \n\nAs a Senior DataOPS Engineer, you will architect, build, and operate highly reliable data platforms and pipelines across CDOPS. You will be responsible for ensuring operational excellence, strong observability, secure and compliant deployments, and production-grade performance for data ingestion, transformation, and analytics systems. In addition to building robust data infrastructure, you will play a critical role in enabling enterprise-grade semantic models, ensuring BI teams can develop performant, governed, and reusable analytical assets.\n\nThis role requires deep expertise across data engineering, Linux systems, container orchestration, CI/CD automation, monitoring, and DataOPS best practices. You will play a key part in designing scalable batch and real-time pipelines, maintaining cloud and on-prem data infrastructure, modernizing our orchestration stack, and mentoring engineers across the organization.\n\nYour work will directly empower our BI and AI teams through stable, well-instrumented, high-performance data systems.\n\nDay-to-Day Responsibilities\n\nData Platform Architecture \u0026 Engineering\n\n\u00b7 Design, develop, and maintain data pipelines, focusing on reliability, performance, and idempotency.\n\n\u00b7 Build, optimize, and operationalize complex workflows using Apache Airflow, including scalable configurations), robust retries, SLAs, backfills, and data quality enforcement.\n\nPlatform Reliability, Operations \u0026 Automation\n\n\u00b7 Architect and run containerized data applications using Docker and Docker Compose, including secure healthchecks, and environment-based configuration overlays.\n\n\u00b7 Operate and debug complex containers and Linux hosts (CPU steal, I/O wait, kernel parameters, networking, DNS behavior).\n\n\u00b7 Build CI/CD workflows for data pipelines, container deployments, and data applications.\n\nMonitoring, Observability \u0026 DataOPS Excellence\n\n\u00b7 Design and operate full observability stacks using Prometheus, and Grafana, including exporters for containers, Postgres, and internal services.\n\n\u00b7 Lead incident response, root-cause analysis, runbooks, and reliability improvements across CDOPS data platforms.\n\nCollaboration \u0026 Cross-Functional Support\n\n\u00b7 Partner with Data Engineering, BI, AI, and Infrastructure teams to design robust data flows and operational solutions.\n\n\u00b7 Provide technical leadership in code reviews, architectural discussions, and design documentation.\n\n\u00b7 Mentor junior engineers in DataOPS practices, and production engineering craftsmanship.\n\nBest Practices \u0026 Continuous Improvement\n\n\u00b7 Champion DataOPS standards across the organization, including automation, observability, testing, governance, and secure operations.\n\n\u00b7 Maintain operational checklists, system diagrams, and platform documentation.\n\n\u00b7 Drive internal process improvements: eliminating toil, improving scalability, enhancing cost-efficiency, and reducing deployment friction.\n\n\u00b7 Stay current on new technologies in data orchestration, data ingestion, container platforms, warehouse optimization, monitoring ecosystems, and cloud infrastructure.\n\nPreferred Skills \u0026 Knowledge\n\n\u00b7 Expert-level SQL and strong proficiency in Python for data and systems automation.\n\n\u00b7 Deep expertise in Docker (multi-stage builds, Compose, debugging), Linux internals, and Bash tooling.\n\n\u00b7 Strong experience with Airflow architecture, executor selection, scaling, and DAG best practices.\n\n\u00b7 Skilled in observability stack operation (Prometheus, Grafana), exporters, and metric governance.\n\n\u00b7 Understanding of modern data modeling best practices.\n\n\u00b7 Strong knowledge of Git-based workflows, CI/CD automation, and infrastructure-as-code.\n\n\u00b7 Exposure to Microsoft Fabric, Snowflake, DBT, Terraform is a plus\n\n\u00b7 Excellent communication skills, structured thinking, and ability to influence best practices across teams.\n\nPreferred Experience\n\n\u00b7 Operating data platforms using Snowflake, or similar systems.\n\n\u00b7 Running Airflow in production at scale (Celery or Kubernetes executors).\n\n\u00b7 Designing monitoring architectures with Prometheus and grafana\n\n\u00b7 Experience in SaaS environments.\n\n\u00b7 Managing multi-container applications, secure secrets handling, and production troubleshooting.\n\nBasic Qualifications\n\n\u00b7 Bachelor\u2019s degree in Computer Science, Engineering, Information Systems, or equivalent experience.\n\n\u00b7 5+ years hands-on experience in Data Engineering, DevOps, or DataOPS roles.\n\n\u00b7 English fluency\n\n\u00b7 Proven experience designing and operating production-grade data pipelines and containerized applications.\n\n\u00b7 Strong understanding of cloud environments, Linux systems, and data pipeline orchestration.\n\n\u00b7 Demonstrated success in supporting cross-functional data teams.\n\nLife at PTC is about more than working with today\u2019s most cutting-edge technologies to transform the physical world. It\u2019s about showing up as you are and working alongside some of today\u2019s most talented industry leaders to transform the world around you. \n\nIf you share our passion for problem-solving through innovation, you\u2019ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?\n\nWe respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here.\"\n