Narvar is growing! We are hiring a Principal Data Engineer to build our graph based products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

• Lead the architecture, development, and optimization of graph database systems using technologies such as Neo4j, TigerGraph, or similar.
• Develop and maintain efficient, high-performance code in any one of the following languages: Python, Java, Golang, or Rust, with a focus on graph data processing.
• Design and execute complex SQL queries for data extraction, transformation, and loading in support of graph data structures.
• Own and drive projects from initial concept through production deployment, ensuring robustness and scalability of the data solutions.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
• Stay up-to-date with the latest advancements in graph database technologies and integrate best practices into our data infrastructure.
• Mentor and provide technical leadership to junior engineers, fostering a culture of innovation and continuous improvement.

Qualifications:

• Extensive experience and deep expertise in graph databases such as Neo4j, TigerGraph, or similar.
• Proven track record of managing and processing large-scale data, particularly in graph database environments.
• Proficiency in one of the following programming languages: Python, Java, Golang, or Rust, with a focus on graph data processing and optimization.
• Demonstrated experience in a zero-to-one startup environment, with the ability to thrive in a fast-paced, entrepreneurial setting.
• Previous experience in building data infrastructure from scratch in a startup environment.
• Strong ownership mindset with a proactive approach to problem-solving and a commitment to delivering high-quality results.
• Advanced knowledge of SQL with a deep understanding of database design, optimization, and performance tuning in the context of graph data.
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• 12+ years of relevant experience

Preferred Qualifications:

• Experience with cloud platforms such as Google Cloud Platform (GCP) Familiarity with containerization technologies such as Docker and Kubernetes.
• Understanding of data security and privacy best practices.
• Experience in building APIs for serving machine learning models and frameworks in GCP.

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1400+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.