Data Scientist

New Wave People is hiring a hands-on Data & AI Architect to design and deliver enterprise data and artificial-intelligence solutions with stakeholder engagement.

Responsibilities

• Work with stakeholders across all departments to elicit, clarify, and shape emerging or ambiguous data and AI use cases into scoped opportunities.
• Convert business needs into requirements documents that technical and non-technical audiences can understand and act on.
• Present solution proposals, including trade-offs and value, to stakeholders and governance bodies, and drive requirements through formal approval.
• Architect end-to-end data and AI solutions across ingestion, storage, transformation, modeling, serving, and consumption layers.
• Design and implement solutions using agentic development tooling to accelerate delivery while maintaining quality, security, and maintainability.
• Define reference architectures, patterns, and standards for data and AI across multi-cloud and multi-database environments.
• Ensure enterprise alignment for security, privacy, data governance, cost efficiency, and regulatory compliance.
• Collaborate with engineering, data science, platform, and product teams to move approved designs into production.
• Mentor engineers and analysts, provide technical guidance, and promote strong data and AI practices across the organization.

Requirements

• 8+ years of experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
• Multi-cloud experience with hands-on design and delivery across at least two major cloud providers (Azure, AWS, GCP).
• Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
• Multi-AI experience with practical work across AI/ML and generative-AI frameworks, models, and platforms (LLMs, ML pipelines, RAG, model orchestration).
• Strong requirements-gathering and stakeholder-facing skills, including the ability to extract clarity from ambiguity and write actionable specifications.
• Excellent written and verbal communication, with the ability to explain complex technical topics to non-technical audiences and secure buy-in.
• Hands-on experience delivering solutions with agentic development tooling and AI-assisted development workflows.
• Proven experience taking solutions from concept through approval to production implementation.

Technologies

• Azure, AWS, GCP
• Copilot-style AI development tooling, Copilot Studio, M365 Copilot, GitHub Copilot
• Azure Data services, Synapse/Fabric
• Azure OpenAI, Azure ML
• LLMs, ML pipelines, RAG, model orchestration

Job Details

• Location: Manhattan, NY (hybrid)
• Schedule: Hybrid, 3 days onsite and 2 days remote
• Type: Contract
• Hours: M-F, 37.5 hours weekly
• Compensation: USD 65 - 67 per hour
• Unpaid lunch break
• No holiday work, overtime, or travel required
• No parking provided

Preferred Qualifications

• Recent primary experience on the Microsoft Azure stack (Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
• Hands-on development experience with Microsoft Copilot tooling (GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience may be considered.
• Experience in large, complex, public-sector, transit, or infrastructure organizations.
• Relevant cloud or data architecture certifications.
• Familiarity with enterprise data governance, MLOps, and responsible-AI practices.