Senior Data Platform Architect - AI-Ready Data, Remote

eBSI Export Academy

United States

Remote

USD 235,000 - 285,000

Full time

14 days+

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Benefits offered by this job

Equity
Professional development
Flexible time off
Health/dental/vision

Job summary

Juniper Square is seeking a Senior Staff Software Engineer to lead the transformation of its data engineering and analytics function into a modern, scalable Data Platform. You will define the vision, architecture, operating model, and execution roadmap to empower self-service, governed, analytics-ready data across the company.

This hands-on leadership role requires design, prototyping, and code review to modernize the data stack, establish platform standards, and enable teams to build data

Qualifications

  • 15+ years in data engineering or analytics roles.
  • Experience with cloud data services (AWS/Azure/GCP).
  • Expertise in data modeling for analytics.
  • Strong SQL and programming skills.
  • Experience with BI tools.
  • Ability to operate at executive and technical levels.

Responsibilities

  • Define and own end-to-end data and analytics architecture strategy.
  • Design scalable batch, streaming, and real-time data systems.
  • Lead architecture reviews and technical decision-making.
  • Write production-quality code for data platform components.
  • Build AI-ready data infrastructure and governance practices.
  • Partner with product and engineering teams to enable data products.

Skills

Advanced SQL
Programming in Python/Scala/Java
Cloud data services
Data modeling
BI tools knowledge
Leadership
Communication

Education

Advanced degree in Computer Science/Engineering

Tools

dbt
Spark
Flink/Beam
Tableau/Looker/Power BI

Job description

Juniper Square is seeking a Senior Staff Software Engineer to lead the transformation of its data engineering and analytics function into a modern, scalable Data Platform. You will define the vision, architecture, operating model, and execution roadmap to empower self-service, governed, analytics-ready data across the company.

This hands-on leadership role requires design, prototyping, and code review to modernize the data stack, establish platform standards, and enable teams to build data

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