Senior Manager, Data Engineering

🕒 August 4

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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 • Execute the data engineering strategy aligned with manufacturing and supply chain objectives • Design and implement scalable, secure, and resilient data architectures across Azure, AWS, and hybrid environments • Manage data acquisition and ingestion, integrating PLCs, historians, SCADA, IoT, and manufacturing systems • Support and enforce data governance, standards, data quality, lifecycle management, and compliance • Collaborate with IT, operations, quality, and supply chain teams to translate business requirements into data solutions • Develop and maintain real-time and batch data pipelines using Snowflake, PowerBI, Power Automate, MQTT, Inductive Automation, Tulip, and SAP • Provide insights into manufacturing KPIs and critical metrics • 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 sharing of ideas and best practices 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 team success

🎯 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 in the manufacturing industry preferred • Experience with shop floor data sources, including PLCs, historians, SCADA, and IoT • Experience with cloud data platforms, including Snowflake, Azure, and AWS • Experience with data integration and visualization tools, including PowerBI • Knowledge of data governance, data architecture, data quality, and data security best practices

🏖️ Benefits

• Medical insurance • Dental insurance • Life insurance • Vision insurance • Disability benefits • 401(k) • Employee Stock Purchase Plan • Paid time off, including paid vacation, holidays, and personal days • Tuition reimbursement • Wellness program • Discounts on Stanley Black & Decker tools and products • Discount programs for other vendors and partners • Career growth across multiple career paths • Access to digital learning portal, Lean Academy, and online university • Certificates and specializations from renowned colleges and universities • Volunteerism, giving back, and sustainable business practices • Diverse and inclusive culture • Remote work arrangement

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