8 дней назад
Principal Engineer, Data and Services
175 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer, Data and Services (Data Engineering/AI): Building scalable, secure, near-real-time data pipelines, APIs, microservices, and AI-integrated services for digital, retail, and analytics platforms with an accent on GCP architecture, data modernization, governance, and real-time processing. Focus on migrating legacy systems to cloud-native platforms, integrating ML capabilities into production, automating workflows, and ensuring data security and compliance.
Location: Jersey City, New Jersey, United States
Salary: $175,000–$220,000 per year
Company
Luxury lifestyle brand offering ready-to-wear, handbags, footwear, accessories, jewelry, home, and beauty products, with a technology organization focused on digital commerce, analytics, and customer experience.
What you will do
- Architect and build scalable, secure, near-real-time data pipelines using GCP, BigQuery, Pub/Sub, Dataflow, SQL Server, and related technologies.
- Modernize legacy data systems and migrate platforms to cloud-native architectures.
- Develop data models, processing frameworks, APIs, and microservices for analytics, AI, operational use cases, and integrations.
- Enable AI/ML-powered data products, feature engineering, and real-time data flows in production.
- Implement data governance, lineage, cataloging, quality monitoring, access control, auditing, and privacy compliance.
- Automate data workflows and deployment through Python, orchestration tools, and CI/CD pipelines while collaborating with product, analytics, and engineering partners.
Requirements
- 10+ years of software or data engineering experience designing large-scale data platforms.
- Hands-on experience with data modernization, real-time data architecture, and cloud migration.
- Deep knowledge of GCP, including BigQuery, Pub/Sub, and Dataflow, as well as SQL Server and modern ETL/ELT patterns.
- Experience with data governance, lineage, security, compliance, API development, microservices, and event-driven systems.
- Proficiency in Python, SQL, CI/CD, and scripting for workflow automation.
- Strong communication, analytical, problem-solving, and stakeholder management skills.
Nice to have
- Experience integrating AI and ML capabilities into production data solutions.
- Experience evaluating GenAI/ML APIs and building AI-driven data products.
Culture & Benefits
- Inclusive, collaborative, entrepreneurial culture focused on ownership, continuous learning, and functional expertise.
- Competitive compensation based on relevant experience and work location.
- Benefits supporting physical and mental health, financial security, and overall wellness.
- Employee discount, access to exclusive sample sales, and free executive coaching on demand.
- Paid volunteer days and opportunities to support the Foundation.
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