Spectrum Control · 16 hours ago
Data & Platform Engineer
Erie-Meadville Area
Full-time
Hybrid
Senior Level
5+ years expSpectrum Control is a company focused on enterprise data and platform modernization, seeking a hands-on Data & Platform Engineer to lead initiatives including AI as part of their digital transformation strategy. The role involves designing, implementing, and governing secure data platforms to enhance operational insights and enable data-driven decision-making across the organization.
HardwareManufacturingSoftware
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
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
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.)
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
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
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
Qualification
Required
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
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
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
Benefits
Competitive wages
PTO
Benefits begin on day 1 of employment
Company
Spectrum Control
Spectrum Control, Inc., together with its subsidiaries, engages in the design, development, manufacture, and sale of custom electronic
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2011-03-28Acquired
Leadership Team
Jessica George
Total Rewards Business Partner
John Muller
Chief Growth Officer
Recent News
2025-10-27
Company data provided by crunchbase