Data Architect

Hello,
UnivEdge Consulting is hiring for one of our direct clients - a global technology consulting leader based in the US. Immediate interviews for the below position.
Job Description Summary
Roles Needed: Senior Data Architect
The supplier will form a new team within UKS specializing in converting Data 360 data into high-fidelity signals through agent-led enrichment. Engineers will build and extend agentic capabilities, manage data egress pipelines, and reduce manual operational processes.
Resources must be available to work within Pacific or Central time zone hours.
Primary skills being - Python & Airflow. Some experience in AI/ML is required.
Enrichment Platform and Agents
Scope of Work
Build agentic capabilities to improve operational efficiency in how third-party data is ingested and consumed by internal stakeholders
Manage data egress from Data 360 to destination systems, including Salesforce's main CRM, as directed by stakeholders
Near-Term Priorities (First 30 Days)
Conduct deep discovery on a top-priority agentic use case targeting operational efficiency improvements and deliver an initial Proof of Concept (POC)
Continue building upon the initial Agent use case to productize and extend agentic capabilities, reducing manual checks and processes currently in place
Required Skills & Qualifications
Strong experience in data engineering, ETL (preferably Informatica), and data architecture
Experience working with Salesforce platforms and data models
Hands-on experience with Airflow
Strong SQL skills with Snowflake and other relational databases
Experience writing complex Python modules for custom ETL workflows
Expertise in building batch and real-time data pipelines
Experience with dbt for data transformation and modeling
Familiarity with AWS/GCP and distributed/event-driven architectures
Strong understanding of data modeling, data warehousing, and big data processing
Experience with data quality, monitoring, and pipeline orchestration frameworks
Strong Python experience for AI application development
Experience working with LLM APIs (OpenAI, Anthropic, Gemini) and prompt engineering beyond basic demos
Experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or similar
Familiarity with vector databases (Pinecone, Chroma, Milvus) and RAG pipelines
Systems thinking ability to decompose complex goals into sub-tasks and manage agentic behavior
Preferred Skills
Experience with 3+ step workflow automation (e.g., autonomous research, DevOps automation, IT troubleshooting)
Proficiency in Model Context Protocol (MCP) integrations
Experience with multi-agent systems and multi-modal agents (processing images, documents)
Experience working on Salesforce Flows and Apex

Work arrangement
Yes