Senior Data Engineer & Cloud Architecture Lead

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

Benefits offered by this job

PTO & holidays

Medical insurance

Dental insurance

Vision insurance

401K

Tuition reimbursement

Sick leave

Job summary

Piper Companies seeks a Lead Data Engineer to guide enterprise data architecture and cloud‑based data modernization. This hybrid role is based in Ft. Washington, PA, and requires strategic thinking to align data infrastructure with business goals.

The position emphasizes designing data warehouses and lakes, implementing DevOps for data platforms, and partnering with executives to optimize data costs and governance across the organization.

Qualifications

• 7+ years of experience in data engineering, cloud data ecosystems, and infrastructure strategy.
• Expertise with cloud-based data tools such as Azure Fabric, Data Factory, Synapse, or similar.
• Proficiency in Python, SQL, ETL development, and data integration architecture.
• Strong understanding of Azure security controls, resource management, and governance frameworks.

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

Experience 7+ years

Python

SQL

ETL

Data integration

Cloud data ecosystems

Architecture strategy

Education

Bachelor's Degree in related field

Tools

Azure Data Factory

Synapse

Azure Fabric

Job description

Piper Companies seeks a Lead Data Engineer to guide enterprise data architecture and cloud‑based data modernization. This hybrid role is based in Ft. Washington, PA, and requires strategic thinking to align data infrastructure with business goals.

The position emphasizes designing data warehouses and lakes, implementing DevOps for data platforms, and partnering with executives to optimize data costs and governance across the organization.