AI-Ready Data Context Architect for Enterprise Analytics

Power Systems Hanwha; Town of Florida (NY); On-site; USD 150,000 - 185,000; Full time

Job summary

Power Systems Hanwha in Jupiter, Florida seeks a Senior Data Context Engineer to design, build, and manage the enterprise data foundation powering AI, analytics, and cloud applications. You will collaborate with stakeholders across cloud and on-prem teams to integrate data from SaaS apps, AWS services, and data lakes, ensuring governance, security, and scalable data delivery.

The role emphasizes building data catalogs, pipelines, and semantic search for AI models, Bedrock, and RAG workflows,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Cloud Computing, or a related field.
• 3+ years of experience in data engineering, cloud data platforms, BI, or enterprise data management.
• Experience with AWS cloud services.
• Strong SQL and Python programming skills.
• Experience integrating enterprise SaaS applications using APIs and cloud-native integration services.
• Strong understanding of relational databases, data lakes, and ETL/ELT methodologies.
• Experience with metadata management, data governance, and data quality practices.
• Knowledge of REST APIs, JSON, and data integration technologies.
• Excellent analytical, communication, and problem-solving skills.

Responsibilities

• Design and maintain enterprise data context models that improve AI, analytics, and business reporting.
• Integrate data from enterprise SaaS applications into AWS data platforms.
• Design, develop, and maintain scalable data ingestion, transformation, and integration pipelines using AWS services.
• Manage enterprise data stored in Amazon S3 as the organization's centralized data lake.
• Develop and optimize datasets for Amazon QuickSight dashboards, analytics, and executive reporting.
• Support AI initiatives by preparing structured and unstructured data for Amazon Bedrock, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs).
• Design and maintain vector databases and semantic search capabilities to improve AI response accuracy.
• Build metadata, lineage, business glossaries, taxonomies, and enterprise data catalogs.
• Implement data quality controls, validation processes, and continuous monitoring to ensure data integrity.
• Define and maintain data lineage, ownership, and governance policies across enterprise systems.
• Collaborate with application owners to onboard new SaaS applications into the enterprise data platform.
• Develop and maintain APIs and integration services for secure data exchange between cloud and on-premises systems.
• Optimize cloud storage strategies, lifecycle policies, and data organization within Amazon S3.
• Partner with Data Scientists, Data Engineers, Digital Strategy, Security, Infrastructure, and Business Intelligence teams to deliver trusted enterprise data.
• Support the implementation of enterprise AI solutions using Amazon Bedrock and other AWS AI services.
• Ensure compliance with enterprise security policies and regulatory frameworks, including ISO 27001, CMMC, GDPR, and applicable data governance standards.
• Create technical documentation, architecture diagrams, data dictionaries, and operational procedures.
• Other duties as assigned.

Skills

SQL

Python

Analytical thinking

Communication

Problem solving

REST APIs

Education

Bachelor's degree in Computer Science

Tools

AWS cloud services

APIs

ETL/ELT

Job description

Power Systems Hanwha in Jupiter, Florida seeks a Senior Data Context Engineer to design, build, and manage the enterprise data foundation powering AI, analytics, and cloud applications. You will collaborate with stakeholders across cloud and on-prem teams to integrate data from SaaS apps, AWS services, and data lakes, ensuring governance, security, and scalable data delivery.

The role emphasizes building data catalogs, pipelines, and semantic search for AI models, Bedrock, and RAG workflows,