Highly Skilled Data Platform Architect

Senior Data Engineer

The Senior Data Engineer is a pivotal role on our data team, with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our analytics pursuits across the company's landscape. You will own state-of-the-art big data platforms that power our data stack, with your work standing as the backbone supporting all data-centric innovations.

You are fluent with platforms like AWS, Snowflake, and Dagster at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature. You are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that we stay ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solutions for data engineering and data platform management.

At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data - then join us.

We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development. Our benefits package includes Health + Wellness, The Road Ahead (401k), Professional Development (tuition reimbursement), and Give Back (paid volunteer time-off).

Our interview process starts with applying, followed by a talent acquisition review and recruiter contact. We conduct in-person and virtual interviews. To succeed in this role, you'll need:

• A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering.
• Strong proficiency in designing and implementing scalable, cloud-native data platforms using Infrastructure as Code.
• Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses required.
• Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications.
• In-depth knowledge of big data technologies and data orchestration tools.
• Strong background in data security, governance, and metadata management.

If you're enthusiastic about this position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We value passion and potential and believe in fostering a diverse and inclusive work environment.