Senior Data Architect & Cloud Strategy Leader

Thomas Jefferson University; Orlando (FL); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical (including prescription)

Dental

Vision

Retirement plans

Tuition assistance

Job summary

Thomas Jefferson University seeks a senior data architecture leader to direct enterprise data warehousing, governance, and infrastructure strategy. You will architect large-scale data solutions, guide cross‑functional teams, and translate technical capabilities into business growth opportunities.

The role emphasizes collaboration with executives, cloud optimization, and adoption of AI/ML in data platforms. Strong leadership and communication are essential.

Qualifications

• This role requires 7+ years in data engineering and infrastructure with strategic impact.
• Proficiency in Python, SQL, ETL, data extraction design and data integration.
• Expert knowledge of BI applications, modeling concepts, and cloud governance.

Responsibilities

• Define enterprise-level data architecture and infrastructure strategy.
• Lead design of data warehouses, data lakes, and hybrid architectures.
• DriveDevOps/CI‑CD adoption for data systems and automation.
• Evaluate emerging technologies including AI/ML integration.
• Partner with executives to align data infrastructure with business strategy.
• Mentor across the organization as a subject matter expert.
• Guide cloud resource planning, cost optimization, and capacity management.
• Collaborate with DevOps, Security, and Product teams on roadmaps.

Skills

Python

SQL

ETL

Data integration

BI concepts

Cloud tools

Leadership

Communication

Microsoft Fabric

Education

Bachelor’s Degree in Business or Computer Science or related field

Tools

Azure Data Factory

Azure Synapse

Microsoft Fabric

Job description

Thomas Jefferson University seeks a senior data architecture leader to direct enterprise data warehousing, governance, and infrastructure strategy. You will architect large-scale data solutions, guide cross‑functional teams, and translate technical capabilities into business growth opportunities.

The role emphasizes collaboration with executives, cloud optimization, and adoption of AI/ML in data platforms. Strong leadership and communication are essential.