AI-Driven Data Platform Architect for Cloud-Scale

Venteon; Birmingham (AL); On-site; USD 120,000 - 160,000; Full time

Job summary

Venteon in Birmingham, AL seeks a Solutions Architect to own end‑to‑end architecture of the enterprise data platform, linking operational, financial, HR, and business systems into a scalable, secure environment.

You will mentor engineers, set architectural standards, and build cloud‑native solutions using Python, Go, Kubernetes, and modern data tools, while applying AI‑assisted development to improve productivity and analytics.

Qualifications

• 8+ years of experience in data engineering, software engineering, platform architecture, or a related technical field.

Responsibilities

• Design and evolve the enterprise data platform, including data ingestion, storage, modeling, governance, and analytics.
• Architect scalable integration solutions using Azure Data Factory, REST APIs, Change Data Capture (CDC), and event‑driven technologies.
• Develop and support cloud‑native applications and services using Python, Go, Kubernetes, and modern engineering practices.
• Establish enterprise data standards, governance, quality metrics, and security best practices.
• Leverage AI‑assisted development tools and automation to improve engineering productivity and software quality.
• Partner with executive leadership and technical teams to translate business objectives into scalable technology solutions.
• Lead architecture reviews, mentor engineering teams, and promote software engineering best practices.
• Design secure, reliable, and maintainable solutions capable of supporting continued organizational growth.

Skills

SQL Server

T-SQL

SSAS

Azure Data Factory

Python

Go

Kubernetes

REST APIs

CDC

ClickHouse

Snowflake

Databricks

BigQuery

Data governance

Security

Stakeholder mgmt

AI-assisted development

Tools

Azure Data Factory

Kubernetes

Databricks

Snowflake

BigQuery

Job description

Venteon in Birmingham, AL seeks a Solutions Architect to own end‑to‑end architecture of the enterprise data platform, linking operational, financial, HR, and business systems into a scalable, secure environment.

You will mentor engineers, set architectural standards, and build cloud‑native solutions using Python, Go, Kubernetes, and modern data tools, while applying AI‑assisted development to improve productivity and analytics.