Staff Engineer – Data Engineering

📋 Description

• Design, take ownership of, and contribute to the cross-division data architecture, creating patterns and standards that are scalable across both Chartbeat and Tubular platforms.

• Lead the technical strategy for integrating data products across divisions, facilitating new cross-brand features and insights.

• Drive the roadmap for AI and backend infrastructure — from data pipelines that support models to deployment patterns for LLM-powered features.

• Identify and address skill gaps within the data engineering team, actively mentoring engineers and enhancing the overall technical proficiency.

• Collaborate with product, engineering, and ML teams to convert business needs into scalable architectural solutions.

• Establish and refine best practices for data modeling, pipeline design, and system observability throughout the organization.

• Assess and prototype emerging AI and generative AI technologies for their application to real-world product challenges.

• Engage in engineering planning and contribute to roadmap prioritization from a cross-division viewpoint.

• Participate in the engineering on-call rotation to oversee and maintain the health of our production systems.

⛳️ Requirements

• Over 8 years of experience in data engineering, data architecture, or a closely related field.

• Proven expertise in designing large-scale data systems within complex, multi-product or multi-division settings.

• Strong proficiency in cloud data warehouse technologies such as Snowflake, BigQuery, or equivalent.

• Experience in building and maintaining data pipelines at scale, both streaming and batch, utilizing tools like Kafka, Spark, Airflow, or similar.

• Demonstrated experience in integrating AI and ML capabilities into data systems, including LLMs or foundation models in production settings.

• Strong skills in Python and Data Architecture.

• Excellent communication abilities — capable of conveying complex architectural decisions to both technical and non-technical audiences.

• A history of enhancing engineering teams through mentorship, documentation, and technical leadership.

• Experience with Kubernetes or containerized infrastructure is a bonus.

🏝️ Benefits

• Comprehensive Health, Dental, and Vision Insurance.

• 401K with company match (100% of the first 3% and 50% of the next 2%).

• Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents.

• Phone and internet stipend.

• Wellness, learning, and coworking reimbursements.

• Flexible work hours.

• Unlimited PTO.

• 11 paid holidays and December holiday closure.

• Annual In-Person Event.