835 Database Architect Developer jobs in Parsippany,NJ

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Database Administrator (New York, NY - US)

Energy Solutions

New York, NY 10279

New, Posted 15 hours ago

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Director, Full-Stack Engineer

BNY

New York, NY 10007

$136,500-$225,000/yr

Urgently Hiring

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Business Development Executive, Intellium

New York, NY 10017

Requires TravelUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree; CPCU, and/or ACII experience
3+ years in the insurance industry experience successfully quoting, engineering and/or underwriting
Knowledge of property forms, HPR engineering, competitors and brokers
Proficiency with computers and associated software such as Excel, PowerPoint and Word

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New, Posted 1 day ago

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VP, Solution Architect - Marketing Engineering

Synchrony Financial

New York, NY 10012

Remote

Bachelor's Degree with 8+ years of system engineering experience, or High School Diploma/GED with 12+ years of skilled system engineering experience.
Minimum 5 years designing scalable applications.
At least 3 years of leadership experience managing teams.
Minimum 3 years working with Marketing solutions and SaaS platforms across Martech and AdTech.
Proven experience integrating AI tools, building AI-driven solutions, and using AI tools.
4+ years managing high-availability technology solutions, including APIs across Java and other platforms, utilizing monitoring tools and dashboards.
At least 2 years specializing with Martech/AdTech platforms.
Ability and flexibility to travel for business as required
You must be 18 years or older
You must have a high school diploma or equivalent
Legal authorization to work in the U.S. is required.

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New, Posted 13 hours ago

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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 46 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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