The Role
Leads enterprise technology strategy for analytics and AI, designing scalable cloud-native data architectures, distributed systems, real-time streaming, and modern data platforms. Establishes reusable architecture patterns, data management practices, governance approaches, and automation strategies within regulated environments. Partners with stakeholders through a consultative approach and evaluates AI, master data, reference data, and data contract implications for enterprise delivery.
Summary Generated by Built In
Must Have:
Knowledge of cloud database technologies, distributed systems and scalable data workload architecture, including Real Time Streaming
Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns,. Data Modelling techniques and trade offs
Grounding on enterprise data management best practices within a regulated enterprise context
Experience designing scalable cloud-native Data architectures (e.g., Azure, GCP
Demonstrable ability to translate complex architectures into reusable enterprise design patterns
Ability to comprehend a complex estate, string Stakeholder management, Consultative approach, Adaptability
Nice to have:
Exposure to AI, applied and enabling, and its effect on both the demand side for data as well as the implications for delivery of data platforms
Experience in automation in the data management space, including Data Contracts
Familiarity with Data Management and Governance Technology such as Collibra, Dataplex, Purview, Attacamma etc (not specific to these vendors, but the industry)
Master & Reference Data Management best practices experience
Worked experience on tech delivery of Real Time data patterns
Knowledge of cloud database technologies, distributed systems and scalable data workload architecture, including Real Time Streaming
Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns,. Data Modelling techniques and trade offs
Grounding on enterprise data management best practices within a regulated enterprise context
Experience designing scalable cloud-native Data architectures (e.g., Azure, GCP
Demonstrable ability to translate complex architectures into reusable enterprise design patterns
Ability to comprehend a complex estate, string Stakeholder management, Consultative approach, Adaptability
Nice to have:
Exposure to AI, applied and enabling, and its effect on both the demand side for data as well as the implications for delivery of data platforms
Experience in automation in the data management space, including Data Contracts
Familiarity with Data Management and Governance Technology such as Collibra, Dataplex, Purview, Attacamma etc (not specific to these vendors, but the industry)
Master & Reference Data Management best practices experience
Worked experience on tech delivery of Real Time data patterns
Skills Required
- Knowledge of cloud database technologies, distributed systems, scalable data workload architecture, and real-time streaming
- Understanding of enterprise data platforms, data sourcing patterns, ETL/ELT patterns, and data modeling trade-offs
- Knowledge of enterprise data management best practices within regulated enterprise environments
- Experience designing scalable cloud-native data architectures using platforms such as Azure or GCP
- Ability to translate complex architectures into reusable enterprise design patterns
- Ability to understand complex technology estates and manage stakeholders using a consultative, adaptable approach
- Exposure to applied and enabling AI and its implications for data demand and data-platform delivery
- Experience automating data management, including data contracts
- Familiarity with data management and governance technologies such as Collibra, Dataplex, Purview, or Ataccama
- Experience with master data management and reference data management best practices
- Experience delivering real-time data patterns
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The Company
What We Do
Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.
