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Lead Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Engineer (AI/Data Platforms): Designing and operationalizing enterprise data and analytics platforms, ingestion pipelines, and self-service data products with an accent on Python, AWS, Snowflake, dbt, governance, and observability. Focus on integrating AI/ML capabilities for Generative AI, RAG, and LLM applications while enforcing data quality, security, schema integrity, and scalable CI/CD practices.

Location: Miami, FL, United States; primarily a sedentary office position with up to 10% travel to hirify.global divisions.

Company

hirify.global is a Fortune 500 homebuilder focused on building quality homes, serving homeowners and communities, and delivering customer service.

What you will do

  • Design, build, and operationalize production-grade data engineering solutions for enterprise data and analytics platforms.
  • Architect ETL, ELT, streaming ingestion, and delivery processes across disparate production systems.
  • Develop and containerize modular Python data applications and utility scripts on modern cloud infrastructure.
  • Improve data ingestion architecture, data quality, cost-performance, maintainability, and extensibility across storage and compute layers.
  • Define engineering standards covering modular code, version control, automated testing, secure CI/CD, schema evolution, monitoring, metrics, and alerting.
  • Partner with data science teams to build data layers for Generative AI, RAG, LLM frameworks, and self-service analytics.

Requirements

  • 8+ years of experience with data architecture, enterprise modeling, data warehousing, cloud data lakes, and multi-layer Bronze/Silver/Gold designs.
  • 3–6 years of advanced Python development, AWS services and containerization, Snowflake administration, dbt projects, and complex data transformations.
  • Experience with AWS ECS, ECR, S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
  • Strong knowledge of Snowflake Data Sharing, Time Travel, zero-copy cloning, virtual warehouse clustering, and cost optimization.
  • Experience with incremental loading, CDC, external REST APIs, Git/GitHub branching, pull request enforcement, and automated deployment pipelines.
  • Experience implementing data governance, RBAC, compliance, secure environments, testing, QA, and resilient error handling.

Nice to have

  • AWS certification.
  • Experience with Prefect, Airflow, or similar workflow orchestration tools.
  • Experience with Qlik Replicate.
  • Exposure to Snowflake Cortex, AWS Bedrock, LangChain, vector databases, or text embedding generation.

Culture & Benefits

  • Full-time employment with medical, dental, and vision insurance.
  • 401(k) plan with a $1-for-$1 company match up to 5%.
  • Up to three weeks of vacation from hire, plus holidays, sick leave, and personal days.
  • Paid parental leave, associate assistance, education assistance, and adoption assistance of up to $30,000.
  • Home purchase discounts, referral bonus opportunities, and a collaborative environment focused on professional growth.

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