Senior Staff Enterprise Architect

• *Job Description Summary**

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Senior Staff Software Architect to define and drive the data architecture and strategy for our customer\-facing digital platform. This is a hands\-on architecture role responsible for building a reliable, scalable and high\-performance data foundation spanning data ingestion, ETL, relational data stores, search/indexing and the API serving layer. You will shape how data flows from multiple enterprise sources into Amazon RDS/PostgreSQL and Apache Solr, and how that data is efficiently exposed to customer\-facing applications.

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• *Job Description**

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• *Role \& Responsibilities:**

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• Define and drive the **long\-term data architecture and technology strategy** for the platform, design scalable patterns for **data ingestion, transformation, ETL and data synchronisation** across multiple source systems.
• Own the architecture and optimisation strategy for **Apache Solr**, including indexing, search performance and efficient retrieval of large datasets.
• Provide application\-level database architecture leadership for **Amazon RDS/PostgreSQL**, including data modelling, schema design, indexing, query optimisation and database design patterns.
• Define how data should move across **source systems ETL RDS Solr APIs web applications**.
• Drive adoption of **AI\-assisted software engineering and AI Development Lifecycle (AI\-DLC)** practices to improve developer productivity, quality, automation and speed of delivery.
• Define and drive the platform's **Generative AI and Agentic AI strategy**, identifying opportunities to build intelligent capabilities into customer\-facing products.
• Drive strategies for **data quality, integrity, traceability, monitoring, logging and auditing**.
• Identify performance bottlenecks across database, indexing, search and API layers and lead optimisation initiatives.
• Partner closely with **Product Owners, Business Analysts, regional stakeholders, architects and engineering teams** to translate product needs into scalable technical solutions.
• Mentor Tech Leads and senior engineers on database, data integration and search architecture.

• *Technical Exterties:**

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• *Data \& Database Architecture**
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• Deep hands\-on experience with **PostgreSQL** and relational database architecture.
• Strong expertise in data modelling, schema design, indexing, query optimisation and database performance tuning.
• Experience with **Amazon RDS** and cloud\-based database architectures.
• Ability to operate as an **Application DBA/Database Architect**, helping engineering teams make sound database design and optimisation decisions.

• *Search \& Indexing**
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• Strong hands\-on expertise with **Apache Solr** or comparable enterprise search platforms.
• Deep understanding of indexing strategies, search architecture, query performance and large\-scale data retrieval.
• Experience designing architectures that combine **relational databases with search/indexing platforms**.

• *Data Integration**
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• Strong experience designing **ETL/ELT and data integration architectures**.
• Experience integrating data from multiple enterprise systems and designing reliable data pipelines.
• Strong understanding of data synchronisation, transformation, validation and error\-handling patterns.

• *Application \& Cloud Architecture**
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• Experience designing data services and APIs supporting **high\-volume customer\-facing web applications**.
• Strong experience with **AWS**, particularly RDS, S3, Lambda and related data services.
• Understanding of **Node.js, GraphQL and API architectures** and how application design affects database and search performance.
• Strong understanding of monitoring, logging, observability, security, reliability, availability, scalability and performance engineering.

• *AI Adoption**
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• Practical knowledge of **Generative AI, large language models, AI agents and Agentic AI architectures**.
• Passion for applying AI to both **customer\-facing products and the software engineering lifecycle**.

• *Education \& Experience**

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• Bachelor's or Master's degree in **Computer Science, Engineering, Information Technology** or a related discipline, or equivalent practical experience.
• **15\+ years of software engineering/data engineering experience**, with significant experience in data architecture and technical leadership.
• Proven experience designing data platforms for **large\-scale customer\-facing applications**.
• Demonstrated ability to influence architecture and engineering practices across multiple teams.
• Strong communication skills with the ability to collaborate effectively with both technical teams and product/business stakeholders.