Senior Manager, Data Engineering

Stanley Black & Decker, Inc.Towson, MD
Remote

About The Position

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. You will execute the data engineering strategy in alignment with manufacturing and supply chain objectives, and design and implement scalable, secure, and resilient data architectures across cloud (Azure, AWS) and hybrid environments. You will manage data acquisition and ingestion processes, including integration with PLCs, historians, SCADA, IoT, and manufacturing systems. You will 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

  • 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.
  • 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.

Nice To Haves

  • Experience in the manufacturing industry preferred.

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 (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.

Benefits

  • Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement
  • Programs & benefits in support of your well-being.
  • Discounts on Stanley Black & Decker tools and other partner programs.
  • Competitive salary
  • Comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement.
  • Discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service