Lead Data Platform & Analytics Engineer at SURE STEEL INC

South Weber, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

115000.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Business Intelligence, AI Integration, ETL Processes, Power BI, SQL, NoSQL, Data Quality, Data Governance, Python, Azure ML, Collaboration, Database Management, Data Security, Automation, IoT Integration

Industry

Construction

Description

Job Details Level: Experienced Job Location: Ogden, UT 84405 Position Type: Full Time Salary Range: $90,000.00 - $115,000.00 Salary Travel Percentage: Up to 25% About Sure Steel, Inc. At Sure Steel, Inc., we are more than just a construction company – we are builders of success, integrity, and innovation. Our leadership in steel fabrication and construction stems from our commitment to excellence, safety, and customer satisfaction. Our Innovation Team plays a crucial role in delivering next-generation solutions that enhance safety, efficiency, and performance across our projects. Position Summary We are hiring a Lead Data Platform & Analytics Engineer to architect, build, and optimize our enterprise data ecosystem. This role blends data engineering, business intelligence, and AI-driven automation to deliver actionable insights across the organization. This role provides technical leadership within the Innovation department, guiding architecture and best practices across data initiatives, but does not include formal supervisory responsibilities. Ideal candidates thrive in a collaborative, fast-paced environment. Key Responsibilities Data Platform Engineering Design, build, and maintain scalable data pipelines and integrations across ERP, project management, IoT, and other business systems. Develop and manage ETL/ELT processes, ensuring reliable flow, transformation, and storage of structured and unstructured data. Build and optimize databases, data lakes, and data warehouses for analytical and operational needs. Implement data quality, integrity, and consistency through validation, auditing, and monitoring. Business Intelligence & Visualization Design, develop, and maintain interactive dashboards and reports in Power BI. Model data for performance and usability; implement DAX calculations and optimize semantic models. Partner with stakeholders to translate business needs into data-driven solutions and promote a data-first culture. AI Integration & Automation Apply AI/ML techniques for forecasting, anomaly detection, and decision support. Integrate predictive models into BI workflows using Azure ML, Python-based models, and Copilot tools. Automate repetitive data operations and reporting tasks using AI-assisted tools. Database Management & Optimization Install, configure, and maintain SQL and NoSQL databases. Monitor performance, implement tuning strategies, and manage backups and disaster recovery protocols. Ensure compliance with data security policies, encryption standards, and regulatory requirements. Cross-Functional Collaboration Work closely with IT, Operations, Engineering, and Project Management teams to align data strategy with business goals. Provide technical leadership and guidance to peers; contribute to data governance initiatives and documentation. Qualifications Bachelor’s or Master’s in Computer Science, Data Engineering, Applied Statistics, or a related field with strong computational and data systems emphasis. 5+ years in data engineering, BI development, and database administration. Proven expertise in Power BI, Azure Data Services, SQL/NoSQL, and ETL frameworks. Familiarity with AI/ML integration and Python-based data workflows. Strong understanding of data security, compliance, and governance. Excellent communication and stakeholder engagement skills. Preferred Skills Experience with construction tech or ERP systems (e.g., Tekla, Spectrum, Project Sight). Knowledge of IoT data integration and cloud-native architectures. Familiarity with AI-assisted monitoring and automation tools. Why Join Us? Lead technical innovation without the burden of people management. Shape the future of data-driven decision-making in a rapidly evolving industry. Work in a culture that values autonomy, creativity, and quiet boldness. Additional Information Work Model: This role follows a flexible hybrid work model, with a strong emphasis on onsite collaboration to support team alignment and innovation. While remote work is part of the schedule, candidates should expect to be onsite regularly to contribute meaningfully to hands-on problem solving and cross-functional teamwork. Work Environment: Collaborative, data-driven, and innovative focused. Occasional travel (

Responsibilities

The Lead Data Platform & Analytics Engineer will architect, build, and optimize the enterprise data ecosystem, focusing on data engineering, business intelligence, and AI-driven automation. This role involves designing scalable data pipelines, developing ETL processes, and collaborating with various teams to align data strategy with business goals.