Data Engineer

Saxon Global; Cincinnati (OH); On-site; USD 125,500 - 230,200; Full time

Job summary

A leading tech consulting firm in Cincinnati is looking for a Senior Data Architect to design and implement modern data and AI platforms for enterprise clients. The ideal candidate will have over 10 years of experience in data architecture, deep expertise with cloud platforms like Azure or AWS, and proficiency in SQL and Python. This role includes responsibilities such as collaborating with client teams, mentoring junior staff, and promoting data quality. Competitive salary offered within the range of $125,500 to $230,200.

Qualifications

• 10+ years of experience in data architecture, data engineering, or analytics.
• Deep expertise with at least one major cloud platform.
• Strong experience with lakehouse architectures.

Responsibilities

• Design enterprise data architectures including lakehouse, warehouse, streaming, and AI/ML patterns.
• Collaborate with client teams and mentor junior architects and engineers.
• Promote data quality and reproducibility.

Skills

Data architecture

Data engineering

Analytics

SQL

Python

Communication skills

Tools

Azure

AWS

GCP

Job description

Senior Data Architect

Location: Cincinnati, OH

Salary: $125,500 – $230,200

Overview

We are seeking a Senior Data Architect to lead the design and implementation of modern data and AI platforms for enterprise clients. This role Prisma combines deep technical expertise with strategic consulting and advisory responsibilities.

Key Responsibilities

• Design enterprise data architectures including lakehouse, warehouse, streaming, and AI/ML patterns
• Define reference architecturesүп metadata strategies, and governance models
• Assess current‑state data environments and design future‑state architectures
• Deliver architecture roadmaps and implementation blueprints aligned to business outcomes
• Architect solutions across major cloud platforms (Azure, AWS, GCP)
• Leverage modern tools for ingestion, transformation, storage, and orchestration
• Design CI/CD, testing, and observability frameworks for data and ML pipelines
• Promote data quality, lineage, and reproducibility
• Collaborate with client teams and internal consultants, and mentor junior architects and engineers

Required Qualifications

• 10+ years in data architecture, data engineering, or analytics
• Deep expertise with at least one major cloud platform
• Strong experience with lakehouse architectures and modern data platforms
• Proficiency in SQL, Python, and data modeling
• Strong client‑facing and communication skills

Preferred Qualifications

• Cloud or data platform certifications
• Knowledge of data mesh or domain‑driven design
• Consulting or professional services background

Employment Type

Full‑time

Seniority Level

Mid‑Senior level