Remote Senior Data Engineering Manager

Stanley Black & Decker, Inc.; Towson (MD); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, life, vision benefits

401(k) and Employee Stock PurchasePlan

Paid time off and tuition assistance

Job summary

Stanley Black & Decker, Inc. is seeking a Senior Manager, Data Engineering to lead a team of data engineers, design scalable data architectures, and align data strategy with manufacturing and supply chain goals.

This remote role reports to the CoE – Operational Excellent Technology and requires hands-on experience with PLCs, historians, SCADA, IoT, and cloud platforms. You will drive data governance, ensure data quality, and partner with IT and operations to deliver real-time and batch data

Qualifications

• Bachelor’s degree from an accredited institution in Computer Science, Data Engineering, Information Systems, Industrial Engineering, or a related field.
• Minimum 7 years of professional experience in data engineering.
• Experience with shop floor data sources (PLCs, historians, SCADA, IoT).
• Experience with cloud data platforms (Snowflake, Azure, AWS), data integration, and visualization tools (PowerBI).
• Knowledge of data governance, data architecture, and best practices for data quality and security.

Responsibilities

• Lead, mentor, and develop a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.
• Execute the data engineering strategy in alignment with manufacturing and supply chain objectives.
• Design and implement scalable, secure, and resilient data architectures across cloud and hybrid environments.
• Manage data acquisition and ingestion processes, including integration with PLCs, historians, SCADA, IoT, and manufacturing systems.
• Support and enforce data governance, standards, and best practices for data quality, lifecycle management, and compliance.
• Collaborate with IT, operations, quality, and supply chain teams to translate business requirements into actionable data solutions.
• Develop and maintain real-time and batch data pipelines using Snowflake, PowerBI, MQTT, Inductive Automation, Tulip, and SAP.

Skills

Leadership

Data engineering

Data governance

Data architecture

Stakeholder communication

Education

Bachelor's degree in Computer Science / Information Systems / Industrial Engineering

Tools

Snowflake

Azure

AWS

PowerBI

MQTT

Inductive Automation

Tulip

SAP

Job description

Stanley Black & Decker, Inc. is seeking a Senior Manager, Data Engineering to lead a team of data engineers, design scalable data architectures, and align data strategy with manufacturing and supply chain goals.

This remote role reports to the CoE – Operational Excellent Technology and requires hands-on experience with PLCs, historians, SCADA, IoT, and cloud platforms. You will drive data governance, ensure data quality, and partner with IT and operations to deliver real-time and batch data