9 дней назад
Staff Data Architect (AI/ML)
170 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Architect (AI/ML): Designing AI-enabled data platforms, agentic data pipeline factories, and production-grade ML and deep learning systems with an accent on Databricks, streaming, modern data modeling, and unified search. Focus on establishing interoperable architecture and governance, scaling reliable AI/ML workloads, and aligning data, engineering, and ML teams around shared patterns.
Location: New York City, hybrid
Salary: $170,000–$210,000 USD per year
Company
is a mobile gaming company operating sportsbook, casino, horse racing, daily fantasy sports, television, and streaming products in the United States and Canada.
What you will do
- Own the architectural vision for applying AI across the data platform, including data ingestion, modeling, delivery, and AI-enabled capabilities.
- Architect an agentic, AI-assisted data pipeline factory with reusable patterns, guardrails, standards, testing, and maintenance practices.
- Design AI-native tools and services built on reusable architectural foundations.
- Define architectures for advanced ML, deep learning, vector search, and unified search workloads.
- Establish interoperable, observable, reproducible, and ML-ready data flows, reference architectures, and technical standards.
- Partner with data, ML, and engineering teams to evaluate technologies, scale reliable systems, and align stakeholders.
Requirements
- 7+ years of experience in data architecture, data platforms, Big Data, and ML engineering.
- Hands-on architectural experience across data warehousing, streaming, Big Data, and AI/ML systems.
- Strong proficiency with Databricks, dbt, Spark, and modern data modeling.
- Experience architecting production-grade ML and AI workloads, including advanced ML or deep learning and ideally vector, semantic, or unified search.
- Experience with AI tooling and agents, version control, code reviews, automated testing, validation gates, and reproducibility.
- Bachelor’s degree in computer science or a related field, with strong leadership, communication, security, and compliance skills.
Culture & Benefits
- Hybrid work environment with benefits varying by location, role, and level.
- Medical, vision, dental, life, disability, and mental health support benefits.
- Paid time off, sick leave, and 14 paid company holidays.
- 401(k) matching of up to 5%, commuter benefits, pet insurance, and fertility and family planning support.
- Annual bonus and long-term incentive opportunities based on performance.
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