Lead Data Engineer - 173475

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

Benefits offered by this job

PTO

Medical, Dental, Vision

401K

Job summary

Piper Companies is seeking a Lead Data Engineer to drive enterprise data architecture and cloud infrastructure modernization from Ft. Washington, PA. This hybrid role partners with executives to align data strategy with business goals and drive cost-efficient cloud solutions.

The ideal candidate has 7+ years in data engineering, strong Azure tools experience, and a solid foundation in Python, SQL, and CI/CD for data platforms.

Qualifications

• 7+ years of experience in data engineering and cloud data ecosystems.
• Proficiency with Azure Fabric, Data Factory, Synapse, or similar.
• 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 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

CI/CD for data

Cloud data architectures

Education

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

Tools

Azure Fabric

Azure Data Factory

Azure Synapse

Job description

Piper Companies is seeking a Lead Data Engineer to support a company focused on enterprise digital transformation and advanced cloud‑based data modernization initiatives. This position is hybrid in Ft. Washington, PA. The Sr Data Engineer will provide strategic direction for enterprise‑wide data architecture and cloud infrastructure. This role enables the organization to leverage data as a competitive advantage by driving innovation, adopting emerging technologies, and shaping long‑term architectural vision.

Responsibilities for the Lead Data Engineer include:

• 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

Required Qualifications for the Lead Data Engineer include:

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

Compensation for the Lead Data Engineer includes:

Salary Range: $140,000-$150,000 depending on experience

Full Benefits Package: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Tuition Reimbursement, Sick leave as required by law

#LI-SM2 #LI-HYBRID

SEO Keywords

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