6 дней назад
Data Engineering Manager | Home Client Services
130 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager | Home Client Services (Databricks/AI): Leading a team building a scalable data platform and real-time and batch pipelines for a home services business with an accent on lakehouse architecture, governance, observability, and stakeholder alignment. Focus on architecting Databricks solutions, improving reliability and cost efficiency, and integrating AI-assisted and agentic tooling into data engineering workflows.
Location: Charlotte, NC; New York, NY; or remote within the United States
Total cash compensation: $130,000–$200,000 per year. New York City range: $162,500–$250,000 per year.
Company
is a portfolio of high-growth businesses delivering digital experiences and large-scale digital growth solutions for consumers and enterprise clients.
What you will do
- Lead a team of 2–4 data engineers building real-time and batch data pipelines across modern cloud and lakehouse technologies.
- Own data platform solutions end to end, including ingestion, transformation, orchestration, monitoring, alerting, and outgestion.
- Translate business and client requirements into technical roadmaps and serve as a trusted technical point of contact.
- Establish standards for data governance, quality, documentation, lineage, access control, and observability.
- Drive platform reliability, scalability, performance, cost optimization, and operational excellence.
- Lead proof-of-concepts and identify opportunities to integrate AI, agentic tooling, and AI-assisted pipeline development.
Requirements
- 3+ years managing a data engineering team and 5+ years of hands-on data engineering experience.
- 4+ years of Databricks experience, including Unity Catalog, Delta Lake, workflow orchestration, and platform architecture.
- 4+ years working with cloud technologies; AWS is preferred, while Azure and GCP are also accepted.
- Strong hands-on Python and PySpark experience in distributed computing environments.
- Expertise in data governance, scalable data modeling, code-first transformation workflows, data quality, and production observability.
- Fluency in AI applications for data engineering, agentic tooling, GitHub, CI/CD, and client-facing technical communication.
Culture & Benefits
- Health, dental, and vision insurance.
- Life insurance, short- and long-term disability insurance, and flexible spending accounts.
- 401(k) with company match and an employee assistance program.
- Paid parental bonding benefits and flexible paid time off.
- Full-time employees accrue 20 PTO days annually, increasing to 25 days after five years.
Hiring process
- Expect live conversations with teammates before an offer is made.
- Recruiting communication uses official or portfolio-company email addresses.
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