Senior Data Warehousing & Cloud Infrastructure Engineer

Piper Companies; Fort Washington (Montgomery County); Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

Full Benefits Package

PTO

Paid Holidays

Medical

Dental

Vision

401K

Tuition Reimbursement

Sick Leave

Job summary

Piper Companies in Fort Washington, PA is seeking a Senior Developer – Data Warehousing & Infrastructure to lead the design, optimization, and governance of large‑scale data warehouses and cloud infrastructure. This role will empower the organization to advance analytics capabilities and accelerate data‑driven innovation while supporting a hybrid work arrangement.

You will mentor associate and mid‑level engineers, build and optimize ETL/ELT pipelines across diverse data sources, improve

Qualifications

• 5+ years of experience in data engineering, data warehousing, or infrastructure.
• Strong experience with Microsoft Azure (compute, storage, Azure AD, resource management).
• Advanced SQL skills, database optimization, ETL/ELT development, and cloud-native data platform expertise.
• Bachelor’s Degree in Business, Computer Science, Finance, Information Systems, or related field

Responsibilities

• Designing and implementing large-scale enterprise data warehouses and supporting infrastructure.
• Building and optimizing ETL/ELT pipelines across diverse data sources.
• Improving performance and reliability of cloud and on-prem data platforms.
• Mentoring associate and mid-level engineers and supporting cross-functional teams.
• Ensuring governance, security compliance, and participation in Azure cloud migration projects.

Skills

Azure

SQL

ETL/ELT

Data warehousing

Governance & security

Education

Bachelor's degree in CS/IS

Tools

Azure AD

Azure storage

Azure resources

Job description

Piper Companies in Fort Washington, PA is seeking a Senior Developer – Data Warehousing & Infrastructure to lead the design, optimization, and governance of large‑scale data warehouses and cloud infrastructure. This role will empower the organization to advance analytics capabilities and accelerate data‑driven innovation while supporting a hybrid work arrangement.

You will mentor associate and mid‑level engineers, build and optimize ETL/ELT pipelines across diverse data sources, improve