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