Principal Data Architect (Cloud-Native Data & AI Platform)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Architect in United States.

This is a strategic and hands-on leadership role focused on shaping the future of a modern, cloud-native data and AI platform. You will define the architecture that powers large-scale data processing, advanced analytics, and machine learning capabilities. Working in a fast-growing, globally distributed environment, you will collaborate with cross-functional teams to solve complex data challenges and drive innovation. This role offers the opportunity to influence technical direction, design scalable systems, and enable data-driven decision-making at scale. It is ideal for someone who thrives at the intersection of architecture, engineering, and data science, and is passionate about building high-impact solutions.

Accountabilities

• Define and drive the technical vision for data architecture, ensuring scalability, performance, and long-term sustainability.
• Design and implement large-scale data and machine learning systems capable of processing high volumes of real-time data.
• Lead architectural decision-making processes, ensuring solutions are robust, future-proof, and aligned with business goals.
• Build and optimize data pipelines, feature engineering workflows, and model deployment frameworks.
• Collaborate with DevOps and engineering teams to ensure infrastructure supports efficient training and inference workloads.
• Develop and evolve data models supporting analytics, predictive capabilities, and business growth.
• Mentor and guide data scientists and engineers, promoting best practices in MLOps, system design, and statistical rigor.
  
  

Requirements

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• Degree in Computer Science, Engineering, Applied Mathematics, or a related STEM field, or equivalent practical experience.
• 5+ years of experience across data engineering, data architecture, and data science roles.
• Proven experience designing and deploying distributed data systems at scale.
• Strong expertise in cloud platforms such as AWS, GCP, or Azure, and modern data tools like Snowflake, Databricks, or BigQuery.
• Solid understanding of data modeling techniques, including relational, dimensional, and NoSQL approaches.
• Hands-on experience with data pipeline and orchestration tools such as Airflow, dbt, Spark, or Kafka.
• Advanced proficiency in Python and SQL, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).
• Experience building, deploying, and maintaining machine learning models in production environments.
• Familiarity with MLOps practices, data governance, security, and compliance standards.
• Bonus: Experience with AI-driven systems, RAG pipelines, or usage-based billing models.
  
  

Benefits

• Competitive salary aligned with experience and expertise

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• Fully remote work environment with flexible working arrangements
• Opportunities for career advancement and continuous professional development
• Exposure to cutting-edge technologies in data, AI, and cloud ecosystems
• Collaborative and inclusive work culture focused on innovation and growth
• Work-life balance support and flexible scheduling
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.