Senior Data Architect

🕒 February 7

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PeakMetrics

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔐 Security

📱 Media

AI • Security • Media

PeakMetrics is a platform designed to help organizations uncover and respond to online narratives that could threaten their brand reputation and stability. By utilizing a comprehensive dataset that includes fringe platforms like TikTok, Telegram, and Discord, PeakMetrics provides insights into how narratives spread, who amplifies them, and the threats they pose. The platform offers tools for identifying misinformation, disinformation, deepfakes, and bots, and provides AI-generated narrative summaries to help users take timely action. With features like active threat monitoring, expert-curated reports, and AI-driven analysis, PeakMetrics empowers organizations to detect, decipher, and defend against narrative threats effectively.

📋 Description

• Share ownership and evolve the end-to-end data architecture across streaming, batch, and analytical workloads • Design data models that preserve signal from unstructured and semi-structured sources • Enable machine learning workflows by defining clear contracts between raw, derived, and model-ready data • Establish standards for schema evolution, dataset versioning, reproducibility, and data quality • Partner closely with engineering teams to improve scalability, reliability, and cost efficiency • Embed applied data science considerations into architectural decisions, including feature reuse, temporal consistency, and leakage prevention • Document and communicate architectural decisions clearly across teams**

🎯 Requirements

• You have eight or more years of experience working with production data systems • You have designed data architectures, not just individual pipelines • You have strong experience with streaming platforms such as Kafka or AWS Kinesis (Preferred) • You have experience with data orchestration tools such as Temporal (Preferred), Dagster or Airflow • You have experience with cloud-native data stacks, AWS preferred • You understand data modeling for analytics and machine learning use cases • You have working knowledge of machine learning workflows and feature engineering concepts • You have experience training AI Models and testing models for domain optimization • You are fluent in SQL and Python • You communicate clearly and collaborate effectively across teams in a remote environment

🏖️ Benefits

• Remote-first culture • Competitive Compensation • Health insurance, 401(k) and other benefits • Flexible work schedule and unlimited time off • Opportunities for professional growth and development • A vibrant and inclusive company culture