This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solutions Architect based in United States.
This role sits at the intersection of advanced data engineering, solution architecture, and client-facing technical leadership. You will design and deliver end-to-end data platforms that enable AI, machine learning, and analytics at enterprise scale. Acting as both a trusted advisor and technical leader, you will guide customers through complex architecture decisions while also supporting pre-sales engagements that shape solution strategy. The position blends hands-on technical depth with strategic influence, requiring close collaboration with engineering, sales, and customer stakeholders. You will work across multiple industries and accounts, ensuring scalable, secure, and high-performing data ecosystems. This is a high-impact role where your expertise directly drives customer success and innovation in modern data platforms.
Accountabilities:
- Serve as a trusted technical advisor to clients, guiding them in designing scalable data architectures and modern data engineering solutions.
- Lead end-to-end solution design and implementation across data pipelines, analytics platforms, and AI/ML workloads using modern data technologies.
- Partner with sales teams in pre-sales engagements, presenting technical architectures and demonstrating value to prospective clients.
- Architect robust data solutions on cloud platforms, ensuring best practices in governance, security, scalability, and performance.
- Oversee multiple client engagements, managing delivery timelines, technical execution, and project outcomes.
- Lead technical discovery sessions and translate business requirements into detailed architecture blueprints and implementation plans.
- Provide mentorship and technical leadership to engineering teams while ensuring quality, reliability, and best practices across deliverables.
Requirements:
- 10+ years of experience in solutions architecture or senior data engineering roles with strong hands-on delivery experience.
- Deep expertise in data engineering ecosystems including Databricks, Spark, Kafka, Hadoop, and modern cloud data platforms (AWS, Azure, or GCP).
- Strong programming skills in Python, Java, and/or Scala, with solid SQL expertise for data modeling and optimization.
- Proven ability to design and deliver end-to-end data solutions, including ETL pipelines, data modeling, and distributed architectures.
- Strong client-facing experience with excellent communication, presentation, and stakeholder management skills.
- Experience leading technical teams, mentoring engineers, and driving delivery in complex environments.
- Strong documentation skills, including architecture diagrams, solution design docs, and technical specifications.
Benefits:
- Competitive base salary with performance-based incentives.
- Comprehensive health coverage for employees and eligible dependents from day one.
- Minimum of 20 days of paid time off plus 9 company holidays annually.
- Performance bonuses tied to individual and company success.
- Career development opportunities in a high-growth, innovation-driven environment.
- Exposure to cutting-edge data engineering, AI, and cloud technologies.
- Collaborative and knowledge-sharing culture focused on technical excellence and impact.