At Dynatrace, Data Engineering manages and transforms data into information for decisionmakers. This includes assessment, design, acquisition and/or implementation of tools, stores and pipelines for turning data into business value.
We are seeking a Lead Software Engineer in Data who will provide key technical direction for and hands-on effort with a small team of data engineers supporting our Business Intelligence function. A core role will be directing and helping to implement transformative pipelines of business data into our Snowflake environment. The ideal candidate will have experience and demonstrable skill with in creating robust software infrastructure for data engineering applications, with expertise in Python, Snowflake, SQL and related technologies. The ideal candidate will have also demonstrated experience in mentoring and upskilling more junior members of the team.
- Lead the design, implementation, and maintenance of scalable data pipelines in the Snowflake eco-system including third party vendor tools such as AWS, Fivetran, etc.
- Key contributor to a Data Engineering strategy to ensure efficient data management for operations and enterprise analytics
- Key technical expert for business stakeholder engagement on business data initiatives
- Collaboration with colleagues in Data Modeling, BI and Data Governance teams for platform initiatives
- Provide the technical interface to data engineering vendors
- Ensure data engineering standards align with industry best practices for data governance, data quality, and data security
- Evaluate and recommend new data technologies and tools to improve data engineering processes and outcomes
- Proven experience in a hands-on data engineering role, especially in relation to business operations data
- Experience as a technical mentor for other data engineers
- Bachelor’s degree in Computer Science, Information Systems or related field, or equivalent experience
- Experience managing stakeholder engagement, collaborating across teams, and working on multiple simultaneous projects
- A strong sense of curiosity, engagement in continuous learning and self improvement, and a knowledge of the trends in the data industry
- Hands-on experience implementing robust, scalable data pipelines
- Extensive experience acquiring data from REST APIs
- Experience in Python and software engineering, with the ability to write efficient, maintainable, and scalable data pipeline code
- Understanding of testing and profiling in the context of data infrastructure, including unit testing, integration testing, profiling code
- Knowledge of containerization/Docker, Kubernetes
- Solid understanding of data warehousing, data lakes, MPP data platforms, and data processing frameworks
- Strong understanding of database technologies, including SQL and NoSQL databases.
- Experience with CI/CD pipelines and DevOps practices for data engineering
- Excellent problem-solving and analytical skills.
- Snowflake certification or other relevant data engineering certification is a plus
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
- You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace.
Skills Required
- Hands-on data engineering experience, especially with business operations data
- Experience leading and mentoring other data engineers
- Expertise with Snowflake and Snowflake ecosystem tools
- Proficiency in Python for data pipeline development
- Strong SQL skills
- Experience building robust, scalable data pipelines
- Extensive experience acquiring data from REST APIs
- Understanding of testing and profiling for data infrastructure (unit/integration testing, profiling)
- Knowledge of data warehousing, data lakes, MPP platforms, and data processing frameworks
- Familiarity with cloud platforms and vendor tools (AWS, Fivetran)
- Knowledge of containerization (Docker) and orchestration (Kubernetes)
- Experience with CI/CD pipelines and DevOps practices for data engineering
- Strong stakeholder management and cross-team collaboration experience
- Bachelor's degree in Computer Science, Information Systems or equivalent experience
- Snowflake certification or other relevant data engineering certification
What the Team is Saying
Dynatrace Compensation & Benefits Highlights
-
Leave & Time Off Breadth — The package includes paid time off, parental leave, quarterly company‑wide Wellness Days, and volunteer time off; U.S. materials also describe an “unlimited PTO” model.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health support via an Employee Assistance Program, with U.S. pages emphasizing strong health benefits.
-
Retirement Support — U.S. offerings highlight a 401(k) retirement plan and broader retirement savings support that contribute to long‑term financial security.
Dynatrace Insights
What We Do
Dynatrace lets customers understand their business like never before, so they can see beyond the complexity, find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.
Why Work With Us
In a world that runs on software, our Al-driven insights cut through the noise, allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture, fueled by curiosity, openness, and authenticity, drives our pursuit of innovation and excellence in crafting the Dynatrace platform.
Gallery
Dynatrace Teams
Dynatrace Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
