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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Data Engineering - **Company:** Stanley Black & Decker - **Location:** Towson, MD, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Systems, Data Visualization, Supervisory Control and Data Acquisition (SCADA), Message Queuing Telemetry Transport (MQTT), Power BI, Cloud Services, SAP (Applications), Microsoft Power Automate, Snowflake, Information Technology, Data Pipelines - **Published:** July 30, 2026 - **Apply:** https://www.juju.com/job/00000000gk981b ## About the Role 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. ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)