Senior Manager, Data Engineering

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.

- 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.

- 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.

- 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.

- Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.

- Learn: Have access to a wealth of learning resources, including our digital learning portal. - Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for a wide range of perspectives and experiences. - Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back, and sustainable business practices.