Principal Solutions Architect

About the Role Our client, a global leader in advanced analytics and AI solutions, is actively seeking a highly accomplished Principal Solutions Architect to join their innovative, fully remote workforce.
This senior role is pivotal in shaping the architectural direction of complex, cutting-edge projects, driving the design of sophisticated solutions that leverage data science and cloud technologies.
You will collaborate with a world-class team of engineers and data scientists, pushing the boundaries of what's possible.
This is a remote-first position, offering unparalleled flexibility and the opportunity to contribute from anywhere.
The ideal candidate is a strategic thinker with a profound understanding of distributed systems, cloud infrastructure, and big data technologies, coupled with exceptional leadership and communication skills.
Join us to architect the future of AI and analytics in a dynamic and intellectually stimulating remote environment.
Key Responsibilities Lead the architectural design and strategy for large-scale, complex data analytics and AI platforms.
Define best practices for cloud-native architectures, microservices, and data processing pipelines.
Collaborate with product management, engineering, and research teams to translate business needs into robust technical solutions.
Provide technical leadership, mentorship, and architectural guidance to engineering teams.
Evaluate and select appropriate technologies, frameworks, and tools for data-intensive applications.
Ensure solutions are scalable, reliable, secure, and cost-effective across major cloud platforms.
Drive innovation by exploring and integrating emerging technologies in AI, machine learning, and big data.
Develop architectural blueprints, documentation, and standards.
Engage with senior stakeholders to articulate technical strategy and solutions.
Requirements Master's or Ph. D. in Computer Science, Data Science, or a related quantitative field.
12+ years of experience in software architecture and design, with at least 5 years focused on big data, AI/ML, and cloud solutions.
Deep expertise in designing and implementing distributed systems and scalable data architectures.
Proficiency with major cloud platforms (AWS, Azure, GCP) and their data/AI services.
Strong experience with big data technologies (e.g., Spark, Hadoop ecosystem, Kafka) and ML frameworks (e.g., Tensor Flow, Py Torch).
Expertise in programming languages such as Python, Scala, or Java.
Excellent understanding of containerization (Docker, Kubernetes) and CI/CD practices.
Exceptional analytical, strategic thinking, and problem-solving skills.
Superb communication and presentation skills, with the ability to influence technical and business leaders in a remote setting.
Benefits Executive-level compensation package including base salary, bonus, and stock options.
Comprehensive global health, dental, and vision insurance.
Generous time off and sabbatical programs.
Significant budget for professional development, conferences, and training.
Home office setup allowance and technology stipend.
Fully remote work environment with a strong focus on work-life balance.
Opportunity to work on groundbreaking AI and data science projects.
Access to cutting-edge technology and collaborative global teams.
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