Data Platform Engineering Manager – Azure Lakehouse

McKinstry Company; Seattle (WA); Hybrid; USD 110,790 - 190,700; Full time

Benefits offered by this job

Competitive pay

401(k) with employer match

Paid time off and holidays

Comprehensive medical, prescription, dental, and vision

Job summary

McKinstry Company is seeking a Software Engineering Manager (Data Engineering) in Seattle, WA to lead the development of a scalable data platform. In this role, you will manage a team of data engineers and spearhead the evolution to Microsoft Fabric, ensuring high-quality insights and governance.

The ideal candidate has significant experience in data engineering and team leadership, with expertise in Azure data services and a passion for building a sustainable future.

Qualifications

• At least 8 years of experience in information technology and data systems, including 5 years in data engineering.
• Proven experience managing and leading software or data engineering teams.
• Deep experience with Azure data services, including Azure Synapse Analytics.
• Strong understanding of data modeling concepts and ETL/ELT pipeline development.

Responsibilities

• Lead the design, development, and operation of McKinstry's Azure Data Lakehouse.
• Oversee the development of robust ETL/ELT pipelines.
• Define and guide data engineering standards across the Lakehouse platform.
• Lead and mentor a team of data engineers.

Skills

Data engineering

Azure data services

Cloud-based data platforms

ETL/ELT pipeline development

Agile development

Data modeling concepts

Team leadership

Communication skills

Education

Bachelor's degree in Information Technology, Computer Science, Data Science, or related field

Tools

Azure Data Factory

Microsoft Fabric

Power BI

Azure Databricks

Job description

McKinstry Company is seeking a Software Engineering Manager (Data Engineering) in Seattle, WA to lead the development of a scalable data platform. In this role, you will manage a team of data engineers and spearhead the evolution to Microsoft Fabric, ensuring high-quality insights and governance.

The ideal candidate has significant experience in data engineering and team leadership, with expertise in Azure data services and a passion for building a sustainable future.