Enterprise AI-Ready Data Architect

eTeam Inc.

East Hanover, NJ

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JOB DETAILS

SALARY

$53.57–$64.28 Per Hour

SKILLS

Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Biotech and Pharmaceutical, Borland ObjectWindows Library (OWL) Programming Libraries, Business Intelligence, Cloud Computing, Communication Skills, Computer Science, Data Collection, Data Management, Data Modeling, Data Quality, Data Science, Data Warehousing, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Database Programming Languages, Detail Oriented, Embedded Systems, Enterprise Architecture, GCP (Good Clinical Practices), Information Technology & Information Systems, Knowledge Modeling, Machine Tool, Manufacturing Data Management, Master Data Management (MDM), Metadata, Metrics, Microsoft Windows Azure, Neo4j, OLAP (OnLine Analytical Processing), Ontology, Open Source, Power BI, Problem Solving Skills, Product Design, RDF (Resource Description Framework), Requirements Management, SPARQL, SQL (Structured Query Language), Salesforce.com, Structured Data, TOGAF - The Open Group Architecture Framework, Technology Analysis, Unstructured Data, Use Cases

LOCATION

East Hanover, NJ

POSTED

30+ days ago

Job Title: Enterprise AI-Ready Data Architect
Location: East Hanover (Onsite: 3days & 2 days remote a week)
Duration: 06 Months
Pay Range: $(53.57 – $64.28)/hr on W2 all-inclusive without benefits

Job Description:
The Enterprise AI-Ready Data Architect / Senior Data Engineer is a hybrid role with a focus on enterprise data architecture, AI integration, and hands-on data engineering. You will design and implement AI-ready, analytics-ready data products and semantic layers (including ontologies) that enable scalable enterprise analytics and integration with AI agents and GenAI use cases. You will embed governance-by-design (quality, lineage, contracts, observability) and partner closely with business and technology stakeholders—in pharmaceutical domains.

Key Responsibilities
1) Enterprise Data Architecture (AI-Ready by Design)
• Define and deliver strategic enterprise data architectures that scale and support AI-ready outcomes.
• Design data workflows capturing as-is and to-be states for enterprise modernization.
• Establish architecture patterns for:
• Semantic Context Layer
• Data Warehouses, Data Lakehouses
• Data Catalogs and Data Marketplaces
• Event-driven and metadata-driven architectures
• Distributed data management (Data Mesh, Data Fabric, Domain-Driven Design)
• Streaming data management

2) Data Products, Semantic Products, and Master Data
• Design data products that are AI-ready and reusable across domains and use cases.
• Build and govern semantic models, metrics-first modeling, and ontologies (knowledge graph concepts).
• Deliver Master Data Management (MDM) capabilities and align master/reference data with business needs.
• Support structured and unstructured data management to enable broader AI and analytics capabilities.

3) AI Integration and GenAI Enablement
• Enable contextual intelligence and data enrichment using:
• Contextual retrieval, entity linking, enrichment using LLMs and embeddings
• Vector search, RAG pipelines, and LLM-based enrichment
• Implement graph-based approaches:
• RDF, OWL, and SPARQL querying
• Property graph / knowledge graph modeling for relationships and reasoning

4) Data Engineering Delivery
• Design and implement robust ETL/ELT pipelines and orchestration frameworks.
• Develop high-quality transformations and data modeling using:
• Advanced SQL
• Tools such as dbt, Airflow, Dataiku
• Ensure production-grade engineering practices for performance, reliability, and maintainability across pipelines.

5) Governance and Standards (Embedded)
• Implement open-source data standards across:
• Data contracts
• Data quality
• Data lineage
• Lead metadata-driven governance through metadata management, observability, and policy-aligned design.

Skills and Qualifications
Core Technical Skills
• Advanced SQL proficiency
• Data platforms and governance tooling experience (one or more):
• Snowflake, Databricks, Collibra, Salesforce
• ELT/ETL and orchestration:
• dbt, Airflow, Dataiku
• BI and reporting:
• Power BI
• Cloud platforms:
• AWS, Azure, GCP
• Modern architecture and data management:
• Data Mesh, Data Fabric, streaming, metadata-driven architecture
• Graph and semantic technologies:
• Knowledge graphs, property graphs (Neo4J), RDF/OWL, SPARQL, graph query languages

Domain and Modeling Expertise
• Experience with data modeling techniques:
• Conceptual, logical, physical modeling—preferably for the pharmaceutical industry
• Semantic modeling, ontology design, and reusable metric layers
• MDM concepts and implementation approaches

AI and GenAI Enablement Skills
• Familiarity with GenAI technologies for enhancing analysis/reporting and data enrichment
• Experience with embeddings, vector search, RAG patterns, and entity resolution/linking concepts

Nice to Have
• Experience with Palantir platform

Recommended Certifications
• CDMP (DAMA)
• TOGAF
• EDM Council frameworks:
• DCAM, CDMC, Open Knowledge Graph, Data Ethics and Responsible AI

Qualifications
• 10+ years of experience in data architecture, process automation, implementation and large-scale data engineering, ideally in pharmaceutical
• Advanced technical engineering and hands-on experience in data modeling for OLAP, workflow automation, AI/ML integration
• ETL pipeline design and development
• Bachelor’s degree in computer science, information technology, engineering, or data science
• Strong problem-solving skills and attention to detail.
• Excellent communication skills with the ability to work with senior stakeholders to translate business requirements to technical data requirements

About the Company

eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

COMPANY SIZE

100 to 499 employees

INDUSTRY

Other/Not Classified

FOUNDED

1998

WEBSITE

www.eteaminc.com

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