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

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Seeking a Principal Data Architect to define the architecture for a modern, cloud-native data and AI platform. This strategic, hands-on role involves designing large-scale data processing, advanced analytics, and ML capabilities. Requires 5+ years of experience in data engineering/architecture/science, cloud platforms (AWS, GCP, Azure), and modern data tools.

Key Highlights

Shape the future of a modern, cloud-native data and AI platform.

Design and implement large-scale data processing, advanced analytics, and machine learning systems.

Lead architectural decision-making for scalable, future-proof solutions.

Key Responsibilities

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.

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Technical Skills Required

AWS GCP Azure Snowflake Databricks BigQuery Airflow dbt Spark Kafka Python SQL pandas NumPy scikit-learn

Benefits & Perks

Competitive salary

Fully remote work environment

Flexible working arrangements

Opportunities for career advancement

Continuous professional development

Exposure to cutting-edge technologies

Collaborative and inclusive work culture

Work-life balance support

Flexible scheduling

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Nice to Have

Experience with AI-driven systems

RAG pipelines

Usage-based billing models

Job Description

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.

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