A high-growth analytics and technology client of mine is is seeking a
Staff Engineer, Data Engineering
to play a pivotal role in defining the future of its data platform and AI initiatives.
This is an opportunity for a senior-level Data Engineer or Data Architect who enjoys operating at both the strategic and hands-on levels. You'll help drive data architecture across multiple business units, influence platform direction, mentor engineers, and contribute directly to building scalable data infrastructure that powers 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
Required Experience
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
Nice to Have
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
Why Consider This Opportunity?
Fully remote position
Staff-level technical ownership and influence
Significant AI and LLM exposure
Opportunity to shape long-term data platform strategy
Strong compensation package
Collaborative, highly technical engineering culture
Excellent work-life balance and comprehensive benefits