Senior Manager, Data Engineering

🕒 3 days ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Stanley Black & Decker, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1843

🔧 Hardware

💰 Post-IPO Debt on 2023-03

Manufacturing • Hardware • Industrial Solutions

Stanley Black & Decker, Inc. is a leading global provider of tools, outdoor products, and industrial solutions. Known for its iconic brands such as DEWALT, CRAFTSMAN, and Stanley, the company offers a wide range of tools and solutions for various industries, including engineered fastening and manufacturing technologies. Headquartered in New Britain, Connecticut, Stanley Black & Decker is committed to innovation, sustainability, and empowering people through its community initiatives. The company plays a significant role in the skilled trades sector, focusing on upskilling and inclusive culture, aiming for a positive impact on both the planet and its people.

📋 Description

• 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

• 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.