Senior Data Context Engineer for AI & Data Platform

Power Systems Mfg., LLC; Florida; On-site; USD 120,000 - 180,000; Full time

Job summary

Power Systems Mfg., LLC. in Jupiter, FL seeks a Senior Data Context Engineer to design, build, and manage an enterprise data foundation powering AI, analytics, and cloud-based applications.

You will ensure data is accurate, secure, governed, and contextually enriched for AI solutions and BI. You will collaborate with stakeholders across cloud, data engineering, and AI teams to ingest data from SaaS apps, AWS, and on-prem systems into a scalable data ecosystem, enabling trusted insights and

Qualifications

• Bachelor's degree in CS, IS, data engineering, cloud computing, or related field.
• 3+ years in data engineering, cloud data platforms, BI, or enterprise data management.
• Strong SQL and Python programming skills.
• Experience with AWS cloud services.
• Experience with APIs and data integration.
• Knowledge of data lakes, relational databases, and ETL/ELT methodologies.
• Excellent analytical and communication skills.

Responsibilities

• Design and maintain enterprise data context models for AI and analytics.
• Integrate data from SaaS apps into AWS data platforms.
• Develop data ingestion, transformation, and integration pipelines on AWS.
• Manage data lake in Amazon S3.
• Develop datasets for Amazon QuickSight dashboards and executive reporting.
• Prepare data for Bedrock, RAG, and LLMs.
• Build metadata, lineage, glossaries, taxonomies, and catalogs.
• Establish data quality controls and governance across systems.
• Collaborate with stakeholders to onboard new SaaS apps.
• Create documentation and architecture diagrams.

Skills

SQL

Python

AWS

REST APIs

JSON

Data integration

Communication

Problem-solving

Analytical

Education

Bachelor's degree in CS/IS/Data Engineering/Cloud Computing

Tools

AWS

Job description

Power Systems Mfg., LLC. in Jupiter, FL seeks a Senior Data Context Engineer to design, build, and manage an enterprise data foundation powering AI, analytics, and cloud-based applications.

You will ensure data is accurate, secure, governed, and contextually enriched for AI solutions and BI. You will collaborate with stakeholders across cloud, data engineering, and AI teams to ingest data from SaaS apps, AWS, and on-prem systems into a scalable data ecosystem, enabling trusted insights and