Senior Manager, Data Engineering

Role Description

As a Senior Manager, Data Engineering, you’ll be part of our CoE – Operational Excellent Technology team working as a remote employee. You’ll get to:

• 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.

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 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

• 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.
• Career paths aren’t linear here, with opportunities to grow and develop your skills along multiple career paths.
• Access to a wealth of learning resources, including our digital learning portal.
• Experience a diverse and inclusive culture with mutual respect and appreciation for a wide range of perspectives and experiences.
• Opportunities to make positive changes locally and globally through volunteerism and sustainable business practices.