Senior Data Context Architect for AI & Analytics

ADP, Inc.; Town of Florida (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

ADP, Inc. is seeking a Senior Data Context Engineer to design and manage the enterprise data foundation powering AI and analytics. You will ensure data is accurate, secure, governed, and enriched to support AI, BI, and decision-making across cloud and on‑prem systems.

You will collaborate with stakeholders, cloud and data teams to onboard SaaS data into a trusted data ecosystem, build data pipelines on AWS, and support Bedrock/LLMs with structured data and semantic search capabilities.

Qualifications

• Bachelor's degree in CS/IS/Data Eng or related field.
• 3+ years in data engineering, cloud data platforms, BI, or enterprise data.
• Experience with AWS cloud services and data governance practices.
• Strong SQL/Python skills; API integration experience.

Responsibilities

• Design enterprise data context models for AI, analytics and reporting.
• Integrate data from SaaS apps into AWS data platforms.
• Build scalable data ingestion, transformation and pipelines on AWS.
• Manage enterprise data lake in Amazon S3.
• Develop datasets for QuickSight dashboards and executive reporting.
• Prepare data for Bedrock, RAG and LLM initiatives.
• Create metadata catalogs and governance policies.
• Implement data quality controls and lineage tracking.
• Collaborate with stakeholders and on-prem/cloud teams.
• Develop secure APIs for data exchange across systems.

Skills

SQL

Python

REST APIs

Data governance

ETL/ELT

Analytical skills

Education

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

Tools

AWS

S3

Redshift

Glue

Lambda

CloudWatch

OpenSearch

Job description

ADP, Inc. is seeking a Senior Data Context Engineer to design and manage the enterprise data foundation powering AI and analytics. You will ensure data is accurate, secure, governed, and enriched to support AI, BI, and decision-making across cloud and on‑prem systems.

You will collaborate with stakeholders, cloud and data teams to onboard SaaS data into a trusted data ecosystem, build data pipelines on AWS, and support Bedrock/LLMs with structured data and semantic search capabilities.