1137 Architect jobs in Arverne,NY

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Manager, GCP Architect

KPMG

New York, NY 10025

~ 43 min Onsite

Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience
Bachelor's degree from an accredited college/university
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future
Travel as required

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Outside Sales- Roofing and Siding Specialist

Riverhead Building Supply

Oceanside, NY 11572

~ 30 min OnsiteUrgently HiringRetirement Benefit

Bachelors degree or equivalent or 3-5 years of related work experience / training.
Excellent communication skills.
Working knowledge of database software.
Must demonstrate a positive, professional and courteous demeanor that represents the company professionally.
This position requires traveling to customers and job-sites.
Experience reading architectural plans for takeoffs preferred
Masonry and Hardscapes experience preferred

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Construction Estimator

Molba Construction

Little Ferry, NJ 07643

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Nothing Bundt Cakes - Crafter

Nothing Bundt Cakes

Valley Stream, NY 11580

Flexible Schedule

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Telephony & Contact Center Solutions Architect

MJHS

New York, NY 10040

~ 43 min Onsite

High School diploma or equivalent.
Minimum of four years of experience in designing, implementation, and supporting VoIP telephony infrastructure and contact center solutions.
Solid understanding of VoIP fundamentals and the network principles that support them.
Video surveillance platforms (e.g., OpenEye).
Access control systems (e.g., Brivo).
AV conference room systems and control technologies.
Ability to work independently with minimal supervision.
Ability to manage multiple priorities in an operational environment.

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HVAC Smart Building Account Executive

Johnson Controls

New York, NY 10261

~ 43 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree (Business, Engineering, Construction Management, Architecture) or equivalent experience
5–7+ years of progressive, high-level field sales experience, including executive engagement
3+ years in the **building technologies or construction ecosystem**
Strong understanding of the **construction lifecycle, delivery models (plan/spec, design-build), and key stakeholders**
Demonstrated success **leading and closing complex, multi-solution deals**
Ability to assess customer needs and design **turnkey, integrated solutions**
Proven track record of influencing **C-level and senior decision-makers**
Exceptional communication, negotiation, and relationship-building skills

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Senior Full Stack Engineer (Angular and Python)

Fidelity Investments

Lyndhurst, NJ 07071

~ 56 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5 plus years full stack development with Angular (TypeScript, RxJS) on the front-end
Python (pandas, NumPy) on the back-end
Strong object-oriented design
REST API fundamentals
Experience designing and building distributed data applications and pipelines at scale
Working knowledge of relational and analytical databases, specifically Oracle and Snowflake, including complex SQL
Hands-on CI/CD experience using Jenkins or comparable tools, with solid unit, integration, and end-to-end testing practices (pytest, Jasmine/Karma)
Proficiency with Git-based workflows, code review standards, and Agile/Scrum delivery
Consistent track record of designing and implementing end-to-end data systems (full stack development) from concept to launch

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Healthcare Planning and Design Manager, Infection Control (Northeast)

Getinge

New York, NY 10001

New, Posted 4 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 43 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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