Data Architect

Arcus Search; Texas; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Arcus Search is seeking a senior data architect to own the data architecture across a large-scale infrastructure. You will design time-series data platforms, define governance, and collaborate with digital, operations and analytics teams.

You will work on real-time and batch pipelines, cloud-based lakehouse patterns, and ensure security and compliance across OT/IoT sources such as BACnet, Modbus and OPC UA. Strong communication is essential.

Qualifications

• Degree in Computer Science, Data Engineering or a related discipline.
• Senior data architecture or data engineering experience in mission critical or industrial settings.
• Proven experience in enterprise data modelling and governance frameworks.
• Hands-on experience designing time series platforms and streaming data architectures.
• Deep knowledge of ETL/ELT, distributed processing engines and cloud-native analytics.
• Familiarity with OT/IoT protocols (BACnet, Modbus, OPC UA) and integration with enterprise systems.
• Strong cloud and edge data processing understanding and excellent stakeholder communication.

Responsibilities

• Own the end-to-end data architecture across telemetry, asset and enterprise datasets.
• Design and evolve the enterprise data model for consistency across platforms.
• Define ingestion and transformation pipelines for real-time and batch workloads.
• Architect scalable cloud data platforms with lakehouse patterns where suitable.
• Enforce data governance, access control, retention and security with cyber teams.
• Establish data quality, lineage and metadata standards for maintainability.
• Define data integration standards for cross- estate systems.
• Deliver production-grade datasets enabling predictive modelling and digital twins.

Skills

Data architecture

Enterprise data modelling

Data governance

Real-time streaming

ETL/ELT

Cloud analytics

Time series

Edge processing

IoT protocols

Stakeholder communication

Education

Degree in Computer Science or related discipline

Tools

SQL

Spark

ETL tools

Cloud platforms

Job description

An innovative technology organisation operating large scale, high density infrastructure is building a unified data environment to support its next generation facilities. Its facilities generate significant volumes of operational telemetry, sensor data and enterprise information. The objective is to structure, secure and govern that data within a single architecture capable of supporting advanced analytics, simulation and AI driven workloads. This role will own the data architecture across the estate, working closely with digital and systems integration counterparts to ensure a coherent, scalable and secure environment. This is a senior position suited to architects who have designed data platforms in mission critical or industrial settings where reliability, governance and performance standards are high.

Key responsibilities:

• Own the end to end data architecture spanning operational telemetry, IoT sensor feeds, asset performance metrics and enterprise datasets
• Design and evolve the enterprise data model to ensure consistency across platforms such as BMS, EPMS, CMMS and ERP systems
• Define and implement ingestion and transformation pipelines supporting both real time streaming and batch processing workloads
• Architect scalable cloud based data platforms, selecting and optimising time series, relational and analytical technologies, including lake or lakehouse patterns where appropriate
• Define and enforce data governance frameworks covering access control, retention, regulatory alignment and security controls in partnership with cyber teams
• Establish robust data quality, lineage, metadata and model lifecycle standards to ensure traceability and long term maintainability
• Define API and integration standards for systems producing and consuming data across the estate
• Deliver production grade datasets that support predictive modelling, digital twin initiatives and strategic reporting

What you'll need:

• Degree in Computer Science, Data Engineering or a related discipline
• Strong background in data architecture or senior data engineering within mission critical or industrial environments such as data centres, energy systems, manufacturing or smart buildings
• Proven experience in enterprise data modelling and governance frameworks
• Hands on experience designing time series platforms and streaming data architectures
• Deep knowledge of modern data tooling including ETL and ELT frameworks, distributed processing engines and cloud native analytics platforms
• Familiarity with operational technology and IoT protocols such as BACnet, Modbus or OPC UA, and integrating those data sources into enterprise systems
• Strong understanding of cloud platforms and edge data processing strategies
• Clear communication skills with the ability to align engineering, operational and analytics stakeholders

You will define how operational and business data is structured, governed and leveraged across a technically demanding environment where accurate, timely information directly influences performance and long term infrastructure strategy.