585 Enterprise Architect jobs in Jersey City,NJ

Senior Solutions Architect - Cyber Resiliency

NetApp

New York, NY 10001

Hybrid~ 25 minHealth InsurancePaid Time OffRetirement Benefit

Reside in New York, New Jersey, Pennsylvania, or Massachusetts
Frequent travel within these locations
5+ years in a Solutions Architect, Solutions Engineer, or similar pre-sales technical role focused on data protection, security, or storage infrastructure, datacenter technologies
Data Protection (Primary Focus) – Deep hands-on experience with enterprise data protection platforms: Commvault, Veeam, Veritas, Cohesity, and/or Rubrik
Strong understanding of backup and recovery architectures, disaster recovery planning, replication, and data lifecycle management
Experience designing and positioning data protection solutions in complex enterprise storage environments
Familiarity with NetApp ONTAP, E-Series, or similar enterprise storage platforms is a strong plus
Security – Working knowledge of data security principles including encryption, access controls, ransomware protection, and zero trust frameworks
Industry certifications such as CISSP, CISM, or CompTIA Security+ are highly valued
Ability to advise customers on securing storage environments and aligning to compliance and regulatory requirements
General Qualifications – 5+ years in a Solutions Architect, Solutions Engineer, or similar pre-sales technical role focused on data protection, security, or storage infrastructure, datacenter technologies
Experience in an overlay or specialist SE model, supporting multiple account teams across a region
Strong presentation and communication skills with the ability to engage both technical practitioners and executive stakeholders
Proven ability to identify whitespace opportunities within accounts and drive proactive engagement
Self-starter who thrives in a fast-paced, high-volume environment with many concurrent opportunities
Willingness to travel within the Northeast region as needed

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Capital One

New York, NY 10001

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Head of Technology, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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Senior Manager, Network Product Engineering & Operations

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$197,400-$264,700/yr

New, Posted 3 hours ago

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Construction Estimator

Molba Construction

Little Ferry, NJ 07643

New, Posted 1 day ago

Customer Service Associate

Crosscountry Mortgage

Jersey City, NJ 07303

New, Posted 2 hours ago

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Project Manager, M&A Integration - New York, 10001

Universal Music Group

New York, NY 10001

iHire

Site Supervisor

John Hummel & Associates

New York, NY 10010

New, Posted 3 hours ago

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Technical Training & Enablement Manager

UVEye

Teaneck, NJ 07666

~ 26 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of experience as a Technical Training Manager or Technical Enablement Lead in a multidisciplinary hardware/software company.
Bachelor's degree in Engineering (Systems, Mechanical, Electrical, or Computer Science) or a related technical field.
Proven experience in building training programs or technical academies from scratch, including curriculum development and certification paths.
Strong expertise in developing SOPs, technical documentation, and instructional materials for complex systems.
Familiarity with Learning Management Systems (LMS) and modern training technologies.
Advanced troubleshooting and diagnostic skills for complex multidisciplinary technical systems.
Exceptional presentation and communication skills, with the ability to simplify complex engineering concepts for diverse audiences.
An independent, "hands-on" leader who can drive projects from inception to full-scale completion.
Strong analytical thinking and task management skills, with high attention to detail.
Willingness to travel >30% of the time, including occasional extended travel for multi-day training sessions.
Ability to transport and set up training equipment and work comfortably in industrial/automotive environments.

SmartExplore AI is experimental.