Lead Data Architect — Cloud & Data Modernization

Piper Companies; Washington (Washington County); Hybrid; USD 140,000 - 150,000; Full time

Benefits offered by this job

PTO

Paid Holidays

Medical

Dental

Vision

401K

Tuition Reimbursement

Sick leave

Job summary

Piper Companies is seeking a Lead Data Engineer to support enterprise data modernization initiatives. This hybrid role is based in Ft. Washington, PA and focuses on defining enterprise data architecture, cloud infrastructure, and data platform modernization.

The candidate will drive automation, DevOps, and CI/CD best practices, collaborate with executives, and guide cost and capacity planning for data platforms. A 7+ year background in data engineering and Azure data tools is expected.

Qualifications

• 7+ years of experience in data engineering, cloud data ecosystems, and infrastructure strategy.
• Proficiency in Python, SQL, ETL development, and data integration architecture.
• Strong understanding of Azure security controls, resource management, and governance frameworks.
• Bachelor's Degree in Business, Computer Science, Finance, Information Systems, or related field.

Responsibilities

• Defining enterprise-level data architecture and infrastructure strategies.
• Designing advanced data warehouses, data lakes, and hybrid cloud architectures.
• Driving adoption of automation, DevOps, and CI/CD best practices for data platforms.
• Partnering with executive leadership to align data infrastructure with business strategy.
• Guiding cloud resource planning, cost optimization, and capacity management.

Skills

Python

SQL

ETL development

Data integration architecture

Education

Bachelor's Degree in Business, Computer Science, Finance, Information Systems, or related field

Tools

Azure Fabric

Data Factory

Synapse

Job description

Piper Companies is seeking a Lead Data Engineer to support enterprise data modernization initiatives. This hybrid role is based in Ft. Washington, PA and focuses on defining enterprise data architecture, cloud infrastructure, and data platform modernization.

The candidate will drive automation, DevOps, and CI/CD best practices, collaborate with executives, and guide cost and capacity planning for data platforms. A 7+ year background in data engineering and Azure data tools is expected.