4 дня назад
Lead Data Engineer (AWS)
170 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (AWS): Building and modernizing scalable, reliable, and well-governed enterprise data platforms with an accent on architecture standards, data pipelines, orchestration, and observability. Focus on designing complex data systems, improving platform scalability and reliability, and leading technical decisions across distributed engineering teams.
Location: Remote - USA
Salary: $170,000–$190,000 base salary per year, plus a discretionary bonus.
Company
Walker & Dunlop provides capital and technology solutions for the commercial real estate industry, with WDTech developing real estate data, data science, and technology solutions.
What you will do
- Define and maintain architecture standards for the enterprise data platform, including data modeling, pipeline design, orchestration, and observability.
- Lead the technical design document process and conduct design and production-readiness reviews.
- Guide the evolution of the AWS-based data platform using Redshift, Airflow, Kafka, SQL Server, and Aurora PostgreSQL.
- Establish engineering standards for code quality, testing, CI/CD, documentation, and release management.
- Identify technical debt, platform fragmentation, scalability issues, and reliability improvements.
- Partner with engineering leaders, mentor engineers, and support adoption of new data engineering, quality, transformation, and governance tools.
Requirements
- 8+ years of data engineering experience, including technical leadership or senior individual contributor experience across multiple teams or initiatives.
- Strong experience building and supporting cloud-native data platforms in AWS environments.
- Experience with Airflow, Kafka, Redshift, PostgreSQL, or similar data platforms.
- Deep expertise in SQL, data modeling, scalable data platform architecture, orchestration, and operational reliability.
- Experience with CI/CD, automated testing, production support, technical design documentation, monitoring, observability, data governance, lineage, and data quality.
- Bachelor’s degree in Computer Science, Engineering, or a related field is preferred, or equivalent practical experience.
Nice to have
- Experience with enterprise data warehouses and data transformation frameworks.
- Experience in commercial real estate, financial services, or another regulated industry.
Culture & Benefits
- Comprehensive medical, dental, and vision benefits, including subsidized medical payroll deductions.
- 401(k) with company match, health savings account, and flexible spending accounts.
- Paid maternity, parental, and family leave programs.
- Company-paid life and disability insurance, plus health and wellness programs.
- Career development opportunities, volunteer hours, and donation matching.
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