[Remote] Staff Data Engineer
Note: The job is a remote job and is open to candidates in USA. Tenth Revolution Group is a high-growth analytics and technology client seeking a Staff Data Engineer to define the future of its data platform and AI initiatives. This role involves driving data architecture, influencing platform direction, mentoring engineers, and building scalable data infrastructure for analytics and AI-driven products.
Responsibilities
- Design and own data architecture across multiple products and platforms
- Drive technical strategy for data platform integration and scalability
- Help shape the AI and LLM roadmap, including data pipelines that support machine learning and AI-powered features
- Establish best practices for data modeling, pipeline design, observability, and governance
- Collaborate closely with Product, Engineering, and ML teams to deliver scalable solutions
- Mentor and elevate Data Engineers across the organization
- Evaluate emerging AI and Generative AI technologies for real-world product applications
- Participate in architecture discussions, roadmap planning, and technical decision-making
- Contribute hands-on to critical engineering initiatives and production systems
Skills
- 8+ years of Data Engineering, Data Architecture, or related experience
- Strong Python development experience
- Experience with modern cloud data warehouse technologies such as Snowflake, BigQuery, or similar platforms
- Expertise building data pipelines at scale using technologies such as Kafka, Spark, Airflow, or related tools
- Experience designing large-scale data platforms and distributed systems
- Strong understanding of data architecture, modeling, and system design
- Experience supporting AI/ML initiatives, including exposure to LLMs or Generative AI technologies
- Proven technical leadership and mentorship experience
- Excellent communication and stakeholder management skills
- Kubernetes and containerized infrastructure experience
- Production experience supporting AI-powered products or LLM-based features
- Experience operating within multi-product or multi-business-unit environments
Company Overview