Data & AI Architect

CECO Environmental is a global leader in providing sustainable solutions for industrial air, water, and energy transition. Since 1966, we’ve been addressing the world’s most pressing environmental challenges. Our mission is to protect people, the environment, and industrial equipment, making a tangible impact across industries like renewable energy, semiconductor manufacturing, power generation, and water treatment. As a purpose-driven company, we foster a culture of innovation, collaboration, and integrity, ensuring that every project we undertake creates lasting positive change. At CECO, you’ll be part of a growing, dynamic team committed to a cleaner, safer, and more sustainable future.

We are proud to share that CECO was named one of Newsweek’s America’s Greatest Companies for 2025 and that Forbes recognized CECO as one of America’s Most Successful Small‑Cap Companies for 2026, marking our third consecutive year on the Forbes list. CECO Environmental is a publicly traded company on the NASDAQ under the ticker CECO, reflecting our strong growth, financial performance, and commitment to delivering value to shareholders.

As part of the CECO corporate team, you will play a key role in supporting the continued growth and success of our global family of brands. Whether working in finance, HR, IT, accounting, marketing, or another corporate function, your expertise will help drive efficiency and innovation across our organization. By joining CECO, you’ll be part of a company committed to protecting the environment and enhancing industrial operations, all while fostering a collaborative and purpose-driven work environment.

Your Responsibilities Will Be:

• Define and maintain the enterprise data architecture across Microsoft Fabric and Azure data services.
• Design and implement medallion data architecture patterns (Bronze, Silver, Gold) to ensure scalable, governed, and reusable data assets.
• Serve as the subject matter expert for Microsoft Fabric architecture, including Lakehouse, Warehouse, OneLake, semantic layers, and Direct Lake patterns.
• Architect and optimize data ingestion, transformation, and storage pipelines using Fabric data engineering capabilities.
• Contribute hands-on data engineering work when needed, including building pipelines, transformations, and curated data models.
• Ensure proper separation of responsibilities between data platform layers (Bronze/Silver/Gold) and downstream analytical models.
• Partner closely with data engineering and analytics teams to shape Gold Layer datasets for enterprise reporting and AI consumption.
• Define architecture patterns for data preparation and feature pipelines used by AI and advanced analytics workloads.
• Design and guide implementation of AI-enabled solutions, including conversational AI, copilots, and emerging agentic AI architectures.
• Establish standards for data governance, metadata management, data quality, and lineage tracking.
• Evaluate emerging capabilities across Azure and Microsoft Fabric and recommend scalable architecture patterns.
• Support cross-functional teams in translating business requirements into robust data and AI platform solutions.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience.
• 8+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Strong experience designing and implementing modern data platforms on Microsoft Azure.
• Deep hands-on experience with Microsoft Fabric data platform capabilities, including:

• Lakehouse
• Data Engineering workloads
• Warehouse
• OneLake
• Semantic models
• Direct Lake patterns

• Strong experience implementing medallion data architectures (Bronze / Silver / Gold).
• Experience building and optimizing data pipelines and transformation logic using modern ELT patterns.
• Experience supporting analytics, BI, and AI workloads on enterprise data platforms.
• Familiarity with AI and machine learning platforms including Azure OpenAI, AI Studio, Cognitive Services, and LLM integration patterns.
• Strong SQL and data transformation expertise

Preferred certifications include:

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate (preferred)
• Equivalent practical experience may substitute for certifications.

We Offer:

At CECO, we are committed to a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers.

ABOUT US

CECO’s Commitment to Our People

At CECO, our people are at the center of everything we do. Whether you’re a professional looking for a career change, an undergraduate student exploring opportunities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with CECO.

ABOUT CECO

CECO Environmental is a leading environmentally focused, diversified industrial company whose solutions protect people, the environment, and industrial equipment across the globe, serving a broad landscape of industrial air, industrial water and energy transition markets.

We serve these markets and our global customers through our key business segments: Engineered Systems and Industrial Process Solutions. Learn more about CECO by visiting About Us.