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5 часов назад

Principal Software Engineer, Tech Lead - Platform (AWS)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Principal Software Engineer, Tech Lead - Platform (AWS): Designing and evolving a next-generation AWS data compute platform with an accent on lakehouse architecture, AI-ready data foundations, governance, and self-service access. Focus on building semantic layers, feature stores, and data ontologies, optimizing Spark and SQL workloads, and defining secure, reliable infrastructure-as-code standards.

Location: Remote, US

Company

hirify.global operates a purchase intelligence and incentives platform that helps businesses attract, understand, and incentivize consumers through digital reward programs.

What you will do

  • Design and evolve next-generation architectures and reference standards for batch, streaming, ML, and AI/agentic workloads.
  • Build the semantic layer, feature store, and data ontology required for governed, self-service access by human and machine consumers.
  • Partner with analysts, engineers, and business users by creating onboarding materials, self-service guides, and best-practice documentation.
  • Set technical direction, mentor data and platform engineers, drive engineering excellence, and manage vendor relationships.
  • Define monitoring standards and SLAs, tune Spark, Delta/Hudi, and SQL workloads, and lead incident response and root-cause analysis.
  • Establish governance, security, compute, access, catalog, cost, and CI/CD standards for Databricks lakehouse platforms on AWS.

Requirements

  • 7+ years of experience in data engineering or data platform roles, including at least 2 years in a technical lead or architecture capacity.
  • Hands-on expertise with Databricks, AWS EMR or similar platforms, Delta Lake, Unity Catalog, Spark/PySpark, SQL, and AWS compute or cluster management.
  • Experience designing and delivering production Lakehouse architectures and large-scale ELT/ETL pipelines.
  • Proficiency with Infrastructure as Code tools such as Terraform.
  • Experience supporting analysts, engineers including ML engineers, and non-technical business users.
  • Strong knowledge of data governance, data modeling, cloud security, communication, and technical collaboration.

Nice to have

  • Experience operating a production semantic layer, feature store, data ontology, or knowledge graph.
  • Experience managing data for ML systems and AI/agentic applications, including LLM training pipelines or inference.

Culture & Benefits

  • Flexible paid time off and company holidays.
  • Medical, dental, and vision insurance from the first day.
  • 401(k) retirement plan with company match and a student loan debt repayment option.
  • Employee Stock Purchase Plan and educational assistance for continuing education.
  • Lifestyle Spending Account and Calm app subscription for physical, emotional, and financial wellbeing.
  • Work environment primarily uses macOS and Google Workspace, with Windows also supported.

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