1 час назад
Lead Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 divisions.
Company
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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