Data Architect

Univedge Consulting LLC; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

UnivEdge Consulting in the US is seeking a Senior Data Architect to lead a new data ingestion and enrichment initiative. You will design and implement scalable data pipelines, integrate third-party data with Salesforce, and guide agent-based data processing across platforms.

The role emphasizes hands-on development in Python, Airflow, SQL, and dbt, plus experience with LLMs, vector stores, and multi-agent frameworks.

Qualifications

• Extensive experience in data engineering, ETL design, and data architecture.
• Hands-on with Salesforce data models and Airflow-based pipelines.
• Strong SQL skills with Snowflake or similar relational databases.
• Proficient in Python for building custom ETL workflows and automation.
• Experience with dbt, data warehousing, and big data processing.
• Familiarity with LLM APIs and multi-agent frameworks for agentic data tasks.
• Knowledge of vector stores (Pinecone/Chroma/Milvus) and RAG pipelines.

Responsibilities

• Lead a new team to convert Data 360 data into high-fidelity signals.
• Build and extend agentic capabilities for data ingestion and processing.
• Manage data egress to destinations including Salesforce CRM.
• Deliver a Proof of Concept within 30 days and evolve capabilities.
• Ensure scalable, reliable batch and real-time data pipelines.

Skills

Data engineering

ETL

Informatica

Salesforce data model

Airflow

SQL

Python

dbt

AWS/GCP

Data modeling

Data warehousing

Big data processing

LLM APIs

Agentic frameworks

Vector databases

Tools

Snowflake

Salesforce

AWS

GCP

Pinecone

Chroma

Milvus

Job description

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
• 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