Data Architect

We are looking for an experienced and innovative Data Architect to join our team at Navan. As a Data Architect, you will be responsible for driving the design and implementation of scalable, efficient, and high-performance data architectures to support data-driven decision-making. You will collaborate closely with various teams—including data engineers, analysts, and product engineering —to ensure seamless integration across systems and data platforms. 

What You'll Do:

• Lead the ideation, design, and hands-on development of a high-performance data architecture to support the growing needs of the business.
• Architect scalable, flexible, and efficient data products, leveraging Snowflake as the central data warehouse, and cloud technologies to ensure that data is accessible, secure, and easy to work with.
• Work closely with data analysts, data scientists, and product engineering teams to create and optimize data models, ensuring seamless data access and high-quality insights.
• Build and implement robust tests, monitoring, and data validation strategies to ensure data quality, reliability, and consistency across all layers of the data stack.
• Develop and maintain our "single source of truth" for key business metrics, ensuring alignment across teams for all decision-making.
• Establish and promote best practices for data engineering and modeling across the organization, mentoring junior team members and fostering a culture of excellence.
• Drive improvements in data performance, efficiency, and usability, with a focus on reducing friction for end-users and enabling self-service analytics.
• Focus on ensuring high data quality, performance, and scalability for large volumes of structured and unstructured data.

What We're Looking For:

• 10+ years of experience in data engineering + demonstrated leadership and mentorship experience, including the ability to guide and develop junior engineers and analysts.
• 3+ years of experience building and maintaining ELT pipelines in a cloud environment (preferably Snowflake).
• Strong expertise in DBT Core, AWS, Airflow, SQL, and Python.
• Expert in managing Airflow for data orchestration, and skilled in CI/CD for seamless development automation.
• Solid understanding of data modeling, cloud-based data architectures, and performance optimization.

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.