Data & Platform Engineer

At Spectrum Control most departments operate on a 4-day 10-hour work schedule in exchange for a 3-day weekend. We offer competitive wages and PTO plus our benefits begin on day 1 of employment. Come join a workforce where we put you first!

Summary: We are looking for a visionary and hands-on Data & Platform Engineer to lead enterprise data and platform modernization including AI initiatives as part of our broader digital transformation strategy. This role will design implement and govern secure and intelligent data platforms that connect manufacturing business and cloud systems to drive operational insights automation and innovation. You will play a critical role in enabling our organization to make data-driven decisions by bridging traditional manufacturing processes with modern digital capabilities in a regulated security-conscious environment.

Core Responsibilities

• Data Modeling - Maintain and evolve the current data warehouse structures including tables schemas and relationships ensuring they support reporting and analytics needs.
• ETL processes - Support optimize and enhance ETL/ELT pipelines to ensure reliable timely ingestion from multiple source systems.
• Modernization & Optimization - Tune queries indexes and storage strategies for optimal speed scalability cost efficiency and leverage AI to boost activities. Focus on reducing technical debt improving performance enabling scalability and ensuring cost efficiency.
• Data Governance & Security - Enforce governance policies data quality standards and security controls to meet compliance and regulatory requirements.
• Collaboration - Partner with business users analysts and application teams to understand requirements and deliver actionable trusted data.
• Future Proofing the Enterprise Creating a resilient flexible platform that can adapt to evolving technologies customer demands and regulatory requirements while positioning the organization for continuous digital innovation. Conducting comprehensive evaluations of current legacy systems data platforms and infrastructure to identify inefficiencies risks and modernization opportunities.

GenAI Enablement for Manufacturing

• Build and maintain secure data pipelines that feed machine learning models for predictive maintenance into factory floor systems.
• Collaborate with analytics teams to operationalize AI models for real-time decision-making.
• Evaluate and integrate AI platforms such as Azure CoPilot ChatGPT Salesforce AI Microsoft Fabric and others into enterprise workflows.
• Using machine learning to transform our data into actionable insights that drive business performance by combining expertise in computer science mathematics and statistics.

Data Architecture & Integration

• Manage an enterprise-wide data architecture that integrates our legacy ERP (as400/KBM) and factory floor systems.
• Support and improve data models to support KPIs across various departments.
• Lead the migration of legacy data environments to scalable cloud platforms (Azure Power BI Tableau Snowflake and others.).

Cybersecurity & Compliance

• Ensure all data systems comply with CMMC NIST 800-171 ITAR and EAR regulations through design and access control.
• Implement data protection strategies such as role-based access encryption logging and secure APIs across platforms.
• Work closely with the cybersecurity squad to support secure DevOps (DevSecOps) data classification and audit readiness.

Cloud Strategy

• Drive the use of hybrid and edge computing for manufacturing data acquisition and analysis.
• Enable high-speed analytics for machine and process data at the edge while syncing to enterprise cloud for historical insight.
• Support real-time telemetry integration from factory devices and smart sensors.

Collaboration & Governance

• Serve as an architecture advisor to data engineers management stakeholders and analysts.
• Establish data governance practices including data quality standards system lifecycle policies and documentation.
• Support Agile delivery of data and analytics features across tribes and squads.
• Participate in strategic planning and roadmap development and enterprise systems.

Required Qualifications:

• Degree in Computer Science Information Systems Data Engineering or related field.
• 5 years of experience in enterprise data architecture and analytics with at least 2 years in a manufacturing environment.
• Demonstrated success driving digital transformation initiatives using modern cloud AI and data platforms.
• Hands-on experience with SQL specifically SQL 2016 SSIS data modeling tools and data pipeline orchestration.
• Working knowledge of cybersecurity and compliance frameworks (e.g. NIST 800-171 CMMC ITAR).

Preferred Qualifications:

• Experience with Azure IaaS/SaaS Power BI and Microsoft Fabric.
• Experience integrating factory systems with enterprise platforms.
• Certifications: Azure Data Engineer or related AI/Cloud credentials.
• Experience with modernizing traditional infrastructure with Cloud platforms.
• Soft Skills
• Strategic thinker with a strong sense of operational urgency and pragmatism.
• Proven ability to communicate technical topics to non-technical stakeholders.
• Comfortable leading across functions in manufacturing operations quality and IT.

Soft Skills:

• Strategic thinker with a strong sense of operational urgency and pragmatism.
• Proven ability to communicate technical topics to non-technical stakeholders.
• Comfortable leading across functions in manufacturing operations quality and IT.

Work Environment:

• This role may be performed remotely or on-site at one of Spectrum Controls U.S. manufacturing locations including Philadelphia State College or Fairview PA; Marlborough MA; Frederick MD; or Ann Arbor MI.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)

Third-Party Recruiters

Please note that per Spectrum Control Policy we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our values and expectations. Any employment agency person or entity that submits an unsolicited resume does so with the understanding that Spectrum Control will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency person or entity. If you or your agency are interested in becoming an approved vendor please contact