Senior Data Architect
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Job Description
Senior Data Architect at PeakMetrics designing and evolving data systems for narrative intelligence. Collaborating with product teams to support real-time processing, analytics, and machine learning use cases.
Responsibilities:
- 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
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