Senior Manager, Data Engineering

🔥 5 hours ago

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Logo of Stanley Black & Decker, Inc.

Stanley Black & Decker, Inc.

10,000+ employees

Founded 1843

🚘 Automotive

🏗️ Construction

📦 Logistics

💰 Post-IPO Debt on 2023-03

Automotive • Construction • Logistics

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 • Tuition reimbursement • Discounts on Stanley Black & Decker tools and other partner programs

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