Lead Software Engineer - Data Engineering

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

What will help you succeed

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

Why you will love being a Dynatracer

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.

Note to Recruiters and Agencies : Thank you for your interest in Dynatrace. Please note that we do not accept unsolicited agency resumes - do not forward them via our website or directly to Dynatrace employees. Dynatrace will not pay fees for unsolicited resumes, and any resumes received this way will be considered the property of Dynatrace.

Benefits and work-life perks

We offer best-in-class core rewards, including paid time off, financial security benefits, retirement savings plans, and health insurance. Beyond that, you’ll get other benefits and work-life perks designed to make your ride with us even more rewarding.

Mental health support

Our Employee Assistance Program, powered by Telus Health, offers support for you and your family members.

Wellness Days

Four company-designated extra paid days off for you to recharge batteries.

Flexibility

Our hybrid working model and flexible working hours offer you the flexibility you need.

Employee Stock Purchase Plan

Purchase company stock ( NYSE:DT ) at a discounted price and become a shareholder.

Learn & develop

Company-wide learning perks, designated team's learning days, and more.

Volunteering day

A day of paid volunteer time to support a community or cause you care about.

Regular team events

We host Global Culture Parties, Family & Friends at Work Day, Global Breakfasts, Green Weeks, Pride Month, and beyond!

International vibe

Most of our offices and teams are proudly multicultural. English is our shared language, but we embrace and learn from each other's cultures.

Rewards vary depending on your employment type. Some benefits and perks also differ by location - explore your city to see what’s available there.

About Dynatrace

Dynatrace (NYSE: DT) is the leading AI-powered observability and security platform. We're advancing observability for today's digital businesses, helping transform modern digital ecosystems' complexity into powerful business assets.

Our AI-driven insights cut through the noise, allowing customers to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Dynatrace offers simplicity, clarity, and reliability at scale to ensure teams can make informed decisions, minimize downtime, and drive their business forward with confidence.