2 дня назад
Lead Data Engineer (AWS/Snowflake)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Data Engineer (AWS/Snowflake): Designing and operationalizing data engineering solutions, ingestion pipelines, and analytics platforms with an accent on data architecture, data modeling, ETL/ELT, and cloud data warehouses. Focus on implementing Snowflake and dbt capabilities, improving data quality and observability, and building scalable automation and governance practices.
Location: Miami, Florida, United States; travel up to 10% to divisions
Company
is a Fortune 500 homebuilder focused on building quality homes, serving homeowners and communities, and using data and analytics to improve business outcomes.
What you will do
- Provide technical leadership for the enterprise data platform engineering team.
- Design, build, and operationalize data engineering solutions for data and analytics platforms and products.
- Architect ETL, ELT, streaming, incremental, and CDC ingestion processes across multiple data sources.
- Develop data models, cloud data lake and warehouse solutions, and integrations for analysts and data scientists.
- Implement monitoring, metrics, error handling, data quality, maintainability, and extensibility improvements.
- Define engineering standards for modular code, version control, testing, CI/CD automation, code reviews, and data governance.
Requirements
- At least 8 years of experience in data architecture, data modeling, data warehousing, transformations, ETL, monitoring, SDLC practices, code reviews, and QA/testing methodologies; 12+ years preferred.
- At least 3 years of experience with AWS services including S3, EC2, EMR, EKS, Glue, Lambda, AppFlow, and CloudWatch; 6+ years preferred.
- Strong experience with Snowflake, including virtual warehouse strategies, data sharing, Time Travel, zero-copy cloning, account administration, and role-based access control.
- Strong experience managing dbt Cloud environments, multi-repository projects, dbt models, and dbt macros.
- Proficiency in SQL and Python, with experience in REST APIs, data ingestion, version control, branching strategies, security, compliance, and governance.
- At least 1 year of experience with orchestration and scheduling tools such as Prefect or Airflow and with Qlik Replicate.
Nice to have
- AWS certification.
- Experience with GitHub and Airflow.
Culture & Benefits
- Full-time employment with health, dental, and vision insurance.
- 401(k) plan with a company match of $1 for every $1 contributed, up to 5%.
- Up to three weeks of vacation from hire, plus holiday, sick leave, and personal day policies.
- Paid parental leave, associate assistance, education assistance, and adoption assistance of up to $30,000.
- Home purchase discounts, referral bonuses, and opportunities to collaborate across divisions.
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