1040 Cloud Database Architect Engineer jobs in New York,NY

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IT Infrastructure Architect, Staff

Curtiss-Wright

Parsippany, NJ 07054

RemoteUrgently HiringPaid Time OffRetirement Benefit

5-12 years of experience in infrastructure, systems engineering, or related roles
Broad experience in enterprise IT environments (not limited to a single system or tool)
Exposure to core infrastructure areas such as: Identity and access management (e.g., Active Directory or similar)
Server environments (Windows and/or Linux)
Application or platform support
Experience participating in system upgrades, migrations, or integrations
Demonstrated ability to learn and adapt to new technologies quickly
Strong communication and interpersonal skills
Proven ability to produce clear documentation with attention to detail
Exposure to Microsoft environments (Active Directory, Windows Server, SQL Server, Exchange) preferred
Experience with virtualization (e.g., VMware) preferred
Familiarity with cloud platforms (e.g., Azure) preferred
Exposure to CMDB or service management tools preferred
Experience working alongside ERP or business systems teams preferred
Any experience with platform ownership or application support preferred

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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Manager, SAP S4 Public Cloud Professional Services Automation (PSA)

KPMG

New York, NY 10001

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Principal Engineer - Managed Databases

CoreWeave

New York, NY 10025

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Sr. Backend Software Engineer (Video Engineering)

Philo

New York, NY 10025

Flexible Schedule

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Senior Network, Security & AWS Cloud Engineer

Sumitomo Mitsui Trust Bank, Limited

New York, NY 10020

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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

New, Posted 15 hours ago

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Director, SAP Enterprise Architect - Supply Chain

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of end-to-end SAP implementation experience with a strong background architecting seamless integration across the entire value chain—from initial sales order capture and pricing (SD/OTC), through manufacturing execution and capacity planning (PP), to final inspection and release (QM).
Experience in Private Equity space; M&A; transactions (buy-side, sell-side, carve-outs) preferred.
Bachelor's degree in Supply Chain, Operations Analysis, Engineering, or a related field from an accredited college/university
Act as the primary liaison between business leaders and IT execution teams, translating complex business requirements into robust SAP architectural designs.
Established relationship with the SAP product team to influence product development and roadmap to help clients build long-term strategies; strong product knowledge in SAP Supply Chain fulfillment solutions and the ability to architect, configure, and analyze system capabilities.
Strong leadership skills, technical knowledge, and the ability to write at a publication quality level in order to communicate findings and recommendations to the client's senior management team
Experience with SAP Public Cloud (GROW), strong knowledge of Agentic AI and SAP Business AI preferred
Travel as needed
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

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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