Senior Manager, Data Engineering

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Lead, guide, and nurture a team of data engineers.

• Implement the data engineering strategy in alignment with manufacturing and supply chain goals.

• Architect and deploy scalable, secure, and robust data frameworks across Azure, AWS, and hybrid setups.

• Oversee data acquisition and ingestion, integrating PLCs, historians, SCADA, IoT, and manufacturing systems.

• Promote and enforce data governance, standards, data quality, lifecycle management, and compliance.

• Collaborate with IT, operations, quality, and supply chain teams to convert business requirements into data-driven solutions.

• Design and maintain both real-time and batch data pipelines utilizing Snowflake, PowerBI, Power Automate, MQTT, Inductive Automation, Tulip, and SAP.

• Provide insights into manufacturing KPIs and essential metrics.

• Foster continuous improvement in data engineering practices, tools, and team competencies.

• Cultivate an action-oriented, inclusive, and collaborative team environment.

• Ensure that all solutions adhere to organizational standards and strategic objectives.

• Encourage the exchange of ideas and best practices through existing and emerging technologies.

• Deliver regular updates and ongoing support to management and key stakeholders.

• Maintain high standards of work quality and contribute to the overall 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.

• At least 7 years of professional experience in data engineering.

• Minimum of 2 years in a leadership position managing data engineering teams.

• Experience in the manufacturing sector is preferred.

• Familiarity with shop floor data sources, including PLCs, historians, SCADA, and IoT.

• Proficiency with cloud data platforms such as Snowflake, Azure, and AWS.

• Experience with data integration and visualization tools, including PowerBI.

• Understanding 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.

• Opportunities for career growth across multiple paths.

• Access to a digital learning portal, Lean Academy, and online university.

• Certificates and specializations from prestigious colleges and universities.

• Engagement in volunteerism, giving back, and sustainable business practices.

• A diverse and inclusive workplace culture.

• Flexible remote work arrangements.