Senior Data Architect: Agentic Pipelines & AI

Univedge Consulting LLC; United States; Remote; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

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

Jobbeschreibung

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.