Note: The job is a remote job and is open to candidates in USA. Harnham is seeking a highly experienced Staff Engineer, Data Engineering to provide technical leadership across a complex data ecosystem. The role focuses on shaping data strategy, designing scalable architectures and pipelines, and enabling AI-powered products, real-time analytics, audience intelligence, and advanced data applications.
Responsibilities
- Design, own, and evolve large-scale data architecture across multiple products and platforms
- Lead technical strategy for integrating disparate data systems into a cohesive ecosystem
- Architect and deliver scalable data pipelines, streaming infrastructure, and warehouse solutions
- Drive AI and backend infrastructure initiatives, including LLM-powered product capabilities and data foundations for AI workloads
- Establish best practices for data modeling, governance, observability, reliability, and performance
- Partner with Product, Engineering, and ML teams to translate business requirements into scalable technical solutions
- Evaluate and implement emerging AI, machine learning, and generative AI technologies
- Provide mentorship and technical guidance to engineers across the organization
- Influence engineering standards, architectural decision-making, and roadmap prioritization
- Participate in production support and on-call responsibilities for critical systems
- Drive alignment of data architecture across multiple teams and platforms
- Improve system scalability, reliability, and maintainability
- Deliver production-ready AI-enabled data capabilities
- Establish higher engineering standards and best practices across the organization
- Strengthen collaboration between Data Engineering, Product, and ML teams
- Enable the successful integration of data products and services across the business
Skills
- 8+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture roles
- Proven success in a senior individual contributor or technical leadership position
- Strong expertise in Python and modern backend development practices
- Experience designing and operating large-scale data platforms and architectures
- Hands-on experience building production data pipelines and distributed systems
- Deep understanding of data modeling, data warehousing, and data platform design
- Experience with Kafka or similar event-streaming technologies
- Experience with modern cloud data warehouses such as Snowflake or similar technologies
- Hands-on experience building and deploying products that leverage Large Language Models (LLMs) or Generative AI
- Strong communication skills with the ability to explain architectural decisions to both technical and non-technical stakeholders
- Demonstrated track record of mentoring engineers and elevating team capabilities
- Experience with BigQuery
- Familiarity with Kubernetes and containerized environments
- Experience with real-time streaming architectures and event-driven systems
- Background integrating platforms, products, or data systems across organizations
- Experience partnering closely with Product teams to define and deliver customer-facing capabilities
- Passion for technical mentorship, engineering culture, and organizational impact
Company Overview
Company H1B Sponsorship