Manufacturing Data Solution Architect

Deloitte • Tampa, FL

59d • $155,600 - $306,800

About The Position

Deloitte’s Industrial Data Operations practice helps clients turn plant-floor data into a trusted, reusable enterprise asset. It connects industrial assets and systems, contextualizes data across IT and OT environments, governs data quality and access, and provides reliable information for analytics and decision-making. This work supports production performance, factory synchronization, predictive maintenance, supply chain visibility, digital twins, and AI-enabled manufacturing applications.

The Manager/Solution Architect serves as a platform-agnostic industrial data architecture authority, leading foundation advisory and implementation workstreams across OT, edge, and enterprise environments. The role defines OT-up architecture, including Unified Namespace (UNS) design, ISA-95 asset modeling, contextualization strategy, and integration topology across historian systems, edge platforms, and enterprise systems. It also serves as the technical voice in vice president- and director-level client discussions, translating plant-floor realities into practical architecture decisions.

The architect partners with delivery leadership and hands off the cloud data platform layer to the Delivery Manager while continuing to guide industrial data architecture. On Cognite Data Fusion engagements, the architect collaborates with the Cognite Platform Architect to align architecture decisions with platform capabilities. The role is suited to someone with a controls or automation background who has moved into data architecture, or an OT integration lead from a vendor or systems integrator. The candidate should be comfortable on a plant floor, reading P&IDs, and translating between operations and IT, with deep familiarity in at least two of ISA-95/ISA-88 standards, OPC UA/UNS, historian systems, or edge platforms.

The position is available in 43 listed U.S. locations. Travel averages 50% of working time, depending on client and industry needs. Recruiting for this role ends January 5, 2027. The estimated salary range is $155,600–$306,800, and the role may also be eligible for a discretionary annual incentive program.

Requirements

• At least 8 years of experience in controls/automation engineering, OT integration, or industrial data architecture, including at least 5 years leading architecture work across OT, edge, and enterprise environments and experience with a vendor or systems integrator.
• At least 5 years defining OT-up architecture, including at least 2 years designing UNS architecture and ISA-95 asset models from scratch.
• At least 5 years designing connections among historian systems, edge platforms, and enterprise systems within industrial data architectures.
• At least 5 years leading foundation advisory and implementation workstreams for industrial data or OT integration programs.
• Ability to serve as the technical voice in vice president- and director-level client conversations.
• At least 5 years translating between operations/OT and IT/enterprise stakeholders.
• At least 3 years of firsthand plant-floor experience, including reading and working from P&IDs.
• At least 5 years of hands-on experience with two or more of ISA-95/ISA-88, OPC UA/UNS, historian systems, or edge platforms.
• At least 5 years maintaining a platform-agnostic architecture perspective while aligning designs to implementation needs.
• At least 3 years coordinating architecture handoffs to cloud data platform delivery leaders.
• At least 3 years partnering with platform architects, including Cognite Platform Architects on Cognite Data Fusion engagements where applicable.
• Bachelor’s degree in Electrical Engineering, Controls Engineering, Industrial/Manufacturing Engineering, or a related field, or at least 8 years of equivalent practical experience.
• Ability to travel an average of 50% of working time based on client and industry needs.
• Must be legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to work independently and collaboratively, communicate effectively, maintain attention to detail and quality, build professional relationships, lead workstreams, prioritize tasks in a dynamic environment, meet deadlines, and mentor others.

Nice To Haves

• Comfort coordinating with platform solution architects or alliance teams for platform-specific design support.
• Strong client communication skills and ability to explain technical topics clearly to technical and business stakeholders.
• Experience with data integration patterns between OT source systems and cloud analytics platforms.
• Experience designing or overseeing lakehouse schemas, time-series data mapping, cloud landing zone architecture, and data pipeline patterns.
• Ability to review data engineering deliverables in enough technical depth to identify architectural issues, integration risks, and design gaps.

Responsibilities

• Lead industrial data foundation advisory and implementation workstreams across OT, edge, and enterprise environments.
• Define OT-up architecture, including UNS design, ISA-95 asset models, contextualization strategy, and integration topology.
• Design connections among historian systems, edge platforms, and enterprise systems.
• Serve as the technical voice in vice president- and director-level client conversations, translating plant-floor realities into practical architecture decisions.
• Translate between operations/OT and IT/enterprise stakeholders.
• Coordinate architecture handoffs to cloud data platform delivery leaders while continuing to guide the industrial data architecture.
• Partner with platform architects, including Cognite Platform Architects on Cognite Data Fusion engagements, to align architecture decisions with platform capabilities.
• Maintain a platform-agnostic architecture perspective while aligning designs to implementation needs.
• Lead projects or workstreams, manage multiple tasks and deadlines, and mentor and guide others.
• Review data engineering deliverables for architectural issues, integration risks, and design gaps.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable performance factors.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager