Lead technical direction and hands-on development of scalable data pipelines into Snowflake. Mentor junior engineers, liaise with stakeholders and vendors, ensure data governance, quality, and security, and evaluate new data technologies to support BI and enterprise analytics.
Your role at Dynatrace
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.
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