Note: The job is a remote job and is open to candidates in USA. Stanley Black & Decker, Inc. is a leading global company known for its diverse and high-performing professionals. They are seeking a Senior Manager of Data Engineering to lead a team of data engineers, design data architectures, and align data strategies with manufacturing and supply chain objectives.
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
Skills
- 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
- Experience in the manufacturing industry preferred
Benefits
- Remote employee
- Medical
- Dental
- Life
- Vision
- Wellness program
- Disability
- Retirement benefits
- 401(k)
- Employee Stock Purchase Plan
- Paid Time Off, including paid vacation, holidays & personal days
- Tuition reimbursement
- Discounts on Stanley Black & Decker tools and products
- Discount programs for many other vendors and partners
- Access to a wealth of learning resources, including our digital learning portal
- Lean Academy
- Online university (where you can get certificates and specializations from renowned colleges and universities)
- Career paths and opportunities to grow and develop skills along multiple career paths
- Volunteerism and giving back
- Sustainable business practices
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