Senior Manager, Data Engineering - RemoteTowson, MD USAThe Job: 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.
The Person: You love to learn and grow and be acknowledged for your valuable contributions. You're not intimidated by innovation. Wouldn't it be great if you could do your job and do a world of good? In fact, you embrace it. You also have:
- 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.
The Details: You'll receive a competitive salary and a great benefits plan, including:
- 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.
And More: We want our company to be a place you'll want to be - and stay. Being part of our team means you'll get to:
- 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.
What's more, you'll get that pride that comes from empowering makers, doers, protectors, and everyday heroes all over the world. We're more than the #1 tools company. More than a driving force in outdoor power equipment. More than a global leader in industrial. We're visionaries and innovators. As successful as we've been in the past, we have so much further to go. That's where you come in. Join us!
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