Top 10 Data warehousing architects Jobs in Menands, Ny

Data Architect-1994
PIP Global Safety —Latham, NY
- $119 an hour
- System design
- Continuous improvement
- Senior level
Quick Apply
Director, Data Science Operations
Kemper Insurance —Albany, NY
- $160,555 - $226,500 a year
- Email
- Remote
- Computer Science
- Java
- SQL
- Health insurance
- Dental insurance
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14d
Manager, Information Services - Data Architect
State of New York - Board of Elections —Albany, NY
- $95,000 - $110,000 a year
- Full-time
- Background check
- System design
- Research
- Paid holidays
- Health insurance
2d
Data Architect
Cloud and Things, Inc —Albany, NY
- $70 - $95 an hour
- Full-time
- Computer Science
- 8 years
- SQL
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2026 03-04 ETL Developer / Data Architect
VISTRADA —Albany, NY
- $80,000 - $130,000 a year
- Full-time
- Computer science
- Doctoral degree
- Computer Science
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Data Architecture/Data Fabric Senior Manager - Utilities
Accenture —Albany, NY
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Data Architecture/Data Fabric Manager - Utilities
Accenture —Albany, NY
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Expert IT Specialist (Data Warehouse / ETL / Oracle / IBM DataStage)
Diverse Agile Solutions —Albany, NY
- $44 - $48 an hour
- Full-time
- Hybrid work
- 7 years
- System design
- Mentoring
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5h
Oracle Utilities Onshore Report Strategy Lead
Accenture —Albany, NY
- $87,400 - $266,300 a year
- Full-time
- Oracle
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
NYS ITS Expert Software Architect
Diverse Agile Solutions —Menands, NY
- $50 - $55 an hour
- Full-time
- Remote
- Microsoft Access
- Computer Science
- Bachelor's degree
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5h

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data warehousing architects jobs near menands, ny

Data Architect-1994

PIP Global Safety -
Latham, NY

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Job Details

$119 an hour

Qualifications

AI models
Ontology
Data model design
Data modeling projects
System design
Public Cloud
Schema design
Semantic Web
System development
AI-driven automation
Cross-functional team management
Master data management
Generative AI
Cross-functional communication
Metadata management

Full Job Description

The AI Data Enablement Architect is responsible for enabling PIP’s enterprise data to be AI-ready, agent-consumable, and decision-aware, with a strong focus on Azure-native services and Foundry as core components of the data ecosystem. This role bridges enterprise data architecture, data engineering, and AI enablement by ensuring data is semantically rich, governed, observable, and operationalized for use by Agentic AI, copilots, and intelligent automation. The Architect partners closely with Data Engineering, Enterprise Architecture, AI/ML teams, and business stakeholders to establish standards and patterns that allow AI systems to safely reason over PIP data and support autonomous or semi-autonomous decision-making. This role plays a key part in modernizing PIP’s global data warehouse and operational data platforms to support AI-driven insights, process automation, and scalable decision intelligence.

AI-Ready Data Architecture (Azure & Foundry)

Design and evolve data architecture patterns that enable AI agents and copilots across PIP’s Azure data platform and Palantir Foundry environment.
Partner with Data Engineering to ensure data pipelines, ontologies, and object models in Foundry are optimized for AI consumption, not just analytics.
Define standards for structuring operational, transactional, and analytical data to support: o Retrieval-Augmented Generation (RAG) o Agent tool usage o Stateful and event-driven decision workflows.
Ensure alignment between Foundry, Azure Data Lake, and the Global EDW to provide consistent and trusted data access.

Semantic Layer & Business Context Enablement

Own and evolve enterprise semantic models that represent PIP business concepts (customers, products, pricing, supply chain, financials, etc.).
Leverage Foundry ontologies and semantic layers to ensure AI systems correctly interpret business meaning, metrics, and relationships.
Partner with business leaders and data product owners to translate business decisions and workflows into machine-understandable data constructs.
Ensure consistency of definitions across BI, Foundry applications, AI use cases, and downstream consumers.

Metadata, Lineage & Data Contracts.

Define and operationalize data contracts for AI consumption, including schema, freshness, quality thresholds, lineage, and usage constraints.
Ensure metadata and lineage captured in Foundry and Azure are accessible and actionable by AI systems and governance processes.
Establish standards for dataset certification, confidence scoring, and trust indicators to support autonomous data usage.

Data Quality, Observability & Trust

Define AI-specific data quality dimensions such as: o Semantic accuracy o Data drift o Context completeness o Impact on AI-driven decisions
Partner with Data Engineering to implement observability and monitoring across Azure and Foundry pipelines.
- Governance, Security & Responsible AI
Extend PIP’s existing data governance and MDM frameworks to support AI and agentic use cases.
Define guardrails for AI data access, including: o Role-based access controls o Sensitive data handling o Human-in-the-loop requirements · Partner with Security, Legal, Compliance, and Risk teams to ensure AI data usage aligns with SOX, GDPR, CCPA, and internal control standards.
Support auditability and explainability of AI-driven outcomes through strong data lineage and governance.

Cross-Functional Collaboration & Enablement

Serve as a central point of expertise for AI data readiness across Data & Analytics, IT, and business teams.
Collaborate with: o Data Engineers building Azure and Foundry pipelines o AI/ML teams developing copilots and agents o Business stakeholders driving AI-enabled use cases
Define reference architectures, standards, and playbooks for onboarding new AI use cases and agents within PIP.

Continuous Improvement & Platform Evolution

Contribute to the roadmap for AI data enablement across Azure, Foundry, and the Global EDW.
Evaluate emerging capabilities within Azure and Foundry that improve AI readiness, semantic modeling, and governance.
Support data migration, enrichment, and transformation initiatives tied to system integrations, acquisitions, and platform modernization

Requirements:

· Must be strategic and able to run cross-functional projects · Strong expertise in enterprise data architecture, data modeling, and data engineering. · Hands-on experience with Azure data services and Foundry (experience with comparable enterprise data platforms considered). · Deep understanding of semantic modeling, ontologies, metadata management, and data governance. · Working knowledge of AI and Agentic AI concepts, including RAG, decision intelligence, and autonomous workflows.· Ability to translate complex business processes into data and AI-ready designs. · Strong collaboration and communication skills across technical and business audiences. · Strategic mindset with the ability to execute in a complex enterprise environment. · Agentic development with Claude code and copilot experience Preferred Skills · Experience implementing data contracts using tools such as Great Expectations, Soda, or equivalent data quality frameworks. · Familiarity with RAG architecture patterns, vector databases (e.g., Azure AI Search, Pinecone), and LLM orchestration frameworks. · Experience with MDM platforms and enterprise data governance tools (e.g., Collibra, Alation, Purview). · Relevant certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or equivalent.

Compensation: $119,00 - $161,000

Quick Apply

Refine Your Search

data warehousing architects jobs in menands, ny

Data Architect-1994

Director, Data Science Operations

Manager, Information Services - Data Architect

Data Architect

2026 03-04 ETL Developer / Data Architect

Data Architecture/Data Fabric Senior Manager - Utilities

Data Architecture/Data Fabric Manager - Utilities

Expert IT Specialist (Data Warehouse / ETL / Oracle / IBM DataStage)

Oracle Utilities Onshore Report Strategy Lead

NYS ITS Expert Software Architect

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