- Company Name
- Stanton House
- Job Title
- Data Architect
- Job Description
-
**Job Title:**
Data Architect (Contract)
**Role Summary:**
Provide a high‑impact, 8‑week consulting engagement to design the foundations of a secure, scalable, AI‑ready data ecosystem. Lead discovery, evaluate architectural options, and deliver a future‑state blueprint and implementation roadmap for senior stakeholders.
**Expectations:**
* Deliver clear, pragmatic recommendations and a prioritized implementation roadmap.
* Operate across business, technical, and governance domains, translating business needs into scalable data architecture solutions.
* Focus on strategy and architecture rather than day‑to‑day delivery.
**Key Responsibilities:**
1. **Discovery & Assessment** – Conduct stakeholder interviews and workshops; evaluate current data workflows, integrations, and analytical use cases; map existing and desired data sources and consumption patterns.
2. **Data Architecture & Platform Design** – Design and compare secure, scalable, cost‑effective cloud‑based data platforms; evaluate analytics environments and API‑led data access; define governance, metadata, privacy, and compliance frameworks.
3. **Cost & Operational Efficiency** – Analyze performance, cost, and operational trade‑offs; recommend strategies to optimize scalability, maintainability, and total cost of ownership.
4. **Roadmap & Recommendations** – Produce a clear future‑state data architecture and strategic blueprint; deliver a prioritized, actionable implementation roadmap.
**Required Skills:**
* 6+ years of experience designing and advising on enterprise data architecture, data strategy, or data platform consulting.
* Deep expertise in modern data stacks, including cloud data platforms (AWS, Azure, GCP), API‑based integration, and distributed data processing.
* Hands‑on knowledge of data modelling, ETL/ELT patterns, and large‑scale data pipelines.
* Strong grounding in data security, privacy, and compliance best practices.
* Proven ability to lead stakeholder discovery sessions and translate business requirements into technical designs.
* Experience with third‑party, partner, or open data sources and preparing organisations for advanced analytics, automation, or AI adoption.
**Required Education & Certifications:**
* Bachelor’s degree or higher in Computer Science, Information Systems, Data Engineering, or a related field (preferred).
* Professional certifications in data architecture or cloud platforms (e.g., AWS Big Data Specialty, Azure Data Engineer Associate, Google Cloud Professional Data Engineer) are highly desirable.