Senior Manager, Data Engineering

Stanley Black & Decker, Inc.

Senior Manager of Data Engineering leading cloud and hybrid data architecture with manufacturing alignment. Driving data quality, team development, and innovative solutions in a global company.

Posted 6/2/2026full-timeRemote • Maryland • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Hard Skills

data engineeringdata architecturedata governancedata qualitydata lifecycle managementdata integrationdata pipelinescloud platformsreal-time data processingbatch data processing

Soft Skills

leadershipmentoringcollaborationinnovationaccountabilitycontinuous improvementcommunicationteam cultureproblem-solvingstakeholder engagement

Tools & Technologies

AzureAWSSnowflakePowerBIPower AutomateMQTTInductive AutomationTulipSCADAIoT

Certifications & Qualifications

Bachelor's degree in Computer ScienceBachelor's degree in Data EngineeringBachelor's degree in Information SystemsBachelor's degree in Industrial Engineering

Industry Keywords

manufacturingsupply chainshop floor dataPLCshistoriansdata compliancedata standardsdata securityKPIactionable data solutions

Tech Stack

Tools & technologies

AWSAzureCloudIoT

About the role

Key responsibilities & impact

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 (Azure, AWS) 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 technologies such as Snowflake, PowerBI, Power Automate, MQTT, Inductive Automation, Tulip, and SAP.
Provide insights into manufacturing KPIs and other critical metrics, ensuring data is contextualized and accessible for stakeholders.
Drive continuous improvement in data engineering processes, tools, and team capabilities.
Promote an action-oriented, inclusive, and collaborative team culture.
Ensure solutions comply with organizational standards and strategic direction.
Facilitate the sharing of ideas and best practices across the team using existing and emerging technologies.
Provide regular updates and ongoing support to management and key stakeholders.
Uphold high standards of work quality and contribute to the success of the team.

Requirements

What you’ll need

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 in the manufacturing industry preferred.
At least 2 years in a leadership role managing data engineering teams.
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.

Benefits

Comp & perks

Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement in addition to programs & benefits in support of your well-being.
Discounts on Stanley Black & Decker tools and other partner programs.