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.
Our 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 – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.
Job Role
As a Principal Data Platform & DevOps Engineer, you will lead the design, implementation, and operation of the platforms, automation, and engineering practices that power the Central Data Operations (CDOPS) ecosystem. You will be responsible for ensuring the reliability, scalability, security, and observability of our data platforms, enabling engineering teams to build and deliver high-quality data products efficiently and at scale.
Operating at the intersection of Data Engineering and DevOps, you will define the technical direction for platform services, including Apache Airflow, Microsoft Fabric, Power BI, Snowflake, CI/CD pipelines, container platforms, and developer tooling that support enterprise data ingestion, transformation, and analytics. You will champion platform engineering best practices, operational excellence, automation, and developer experience while helping establish modern DataOps capabilities across the organization.
Working closely with Engineering, BI, AI, and Analytics teams, you will build resilient, self-service data platforms and provide technical leadership that drives continuous improvement and innovation.
The Team
The candidate will be part of a highly collaborative and technically skilled Central Data Operations team whose mission is to build, operate, and continuously improve the data platform. The team delivers secure, reliable, and scalable data infrastructure, automation, and developer tooling that enable Data Engineering, BI, and AI teams to efficiently deliver trusted data solutions. Working with a customer-centric mindset and strong Agile and DevOps practices, the team drives operational excellence, platform reliability, and continuous innovation across the data ecosystem.
Day‑to‑Day Responsibilities
- Airflow Platform: Build, maintain, and enhance the Apache Airflow platform, including custom Docker images, scalability, and reliability.
- CI/CD & Automation: Design and manage CI/CD pipelines for Airflow, Microsoft Fabric/Power BI, and Snowflake using GitLab, Terraform, and DBT.
- Platform Operations: Operate containerized Linux-based data platforms, improve developer experience, and automate operational tasks.
- Monitoring & Reliability: Implement observability, manage incidents, and maintain dashboards, alerts, and operational documentation.
- Collaboration & Leadership: Partner with engineering teams to deliver scalable platform solutions, provide technical leadership, and mentor engineers.
MUST HAVE SKILLS
- 5+ years hands‑on experience in Data Engineering, Platform Engineering or DevOps roles.
- Strong Python programming skills for automation, platform engineering, and developer tooling.
- Deep understanding of Linux, networking, containers, Kubernetes, and distributed systems.
- Experience designing and operating highly available Apache Airflow platforms.
- Expertise in CI/CD, Infrastructure as Code (Terraform), and DevOps automation.
- Strong knowledge of observability, monitoring, logging, and production operations.
- Familiarity with enterprise data platforms, modern data architectures, and cloud technologies.
- Hands-on experience with technologies including Docker, Helm, Git, GitLab CI/CD, Snowflake, dbt, Microsoft Fabric, Power BI, MySQL, PostgreSQL, DataHub, SonarCloud, Airbyte, Budibase, LimeSurvey, Portainer, Dockhand, and cloud platforms such as Azure and Oracle Analytics Cloud (OAC).
- Experience with Apache Hop and HashiCorp Vault is desirable.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
- Growth mindset with a willingness to expand into broader Data Engineering responsibilities.
Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you.
If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?
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Skills Required
- 5+ years hands-on experience in Data Engineering, Platform Engineering, or DevOps roles.
- Strong Python programming skills for automation and developer tooling.
- Deep understanding of Linux, networking, containers, Kubernetes, and distributed systems.
- Experience designing and operating highly available Apache Airflow platforms.
- Expertise in CI/CD, Infrastructure as Code (Terraform), and DevOps automation.
- Hands-on experience with Docker and Helm.
- Experience with Git and GitLab CI/CD pipelines.
- Experience with Snowflake and dbt for data transformation and analytics.
- Familiarity with Microsoft Fabric and Power BI.
- Experience operating containerized Linux-based data platforms and improving developer experience.
- Strong knowledge of observability, monitoring, logging, incident management, and production operations.
- Hands-on experience with MySQL and PostgreSQL.
- Experience with DataHub, SonarCloud, Airbyte, Portainer, Dockhand.
- Experience with Budibase and LimeSurvey.
- Experience with cloud platforms such as Azure and Oracle Analytics Cloud (OAC).
- Experience with Apache Hop and HashiCorp Vault.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
- Growth mindset and willingness to expand into broader Data Engineering responsibilities.
PTC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PTC and has not been reviewed or approved by PTC.
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Strong & Reliable Incentives — Bonuses are routinely part of offers and widely expected, providing predictable variable pay. This consistency helps bolster total compensation beyond base salary.
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Leave & Time Off Breadth — PTO is portrayed as generous and is complemented by flexible work arrangements. Additional paid volunteer time broadens time-away options.
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Equity Value & Accessibility — Accessible equity through ESPP and RSUs is available for many roles, adding meaningful long-term value. This ownership upside strengthens overall total compensation, particularly in higher-level roles.
PTC Insights
What We Do
PTC (NASDAQ: PTC) unleashes industrial innovation with award-winning, market-proven solutions that enable companies to differentiate their products and services, improve operational excellence, and increase workforce productivity. With PTC, and its partner ecosystem, manufacturers can capitalize on the promise of today’s new technology to drive digital transformation.
