Lead Enterprise Architect, Advanced Analytics
Posted 2 days ago by Experis UK on Linkedin
Negotiable
Inside
Hybrid
London, England, United Kingdom
Summary: The Lead Enterprise Architect for Advanced Analytics will spearhead the development of innovative analytics tools and systems, driving data-driven insights across the organization. This role involves managing a skilled engineering team, ensuring collaboration with cross-functional teams, and overseeing the full software development lifecycle. The position requires a strong focus on scalability, performance, and the implementation of best practices in analytics solutions. The role is based in London with a hybrid working arrangement, requiring presence in the office two days a week.
Key Responsibilities:
- Lead the development and enhancement of advanced analytics tools, focusing on data processing, integration, and optimization.
- Manage, mentor, and grow a team of skilled engineers, providing guidance through performance reviews and career development.
- Ensure collaboration with cross-functional teams to translate business objectives into technical solutions.
- Remove blockers and resolve technical challenges for engineering teams.
- Participate in code reviews and design discussions, implementing best practices for scalable solutions.
- Champion agile methodologies to deliver high-quality products on time and within budget.
- Oversee the full SDLC to ensure timely delivery of analytics solutions.
- Provide second-level support for production systems, ensuring stability and performance.
- Collaborate with architects to establish standards and conduct impact assessments.
- Manage and resolve escalations effectively to minimize disruption to project timelines.
Key Skills:
- 3+ years of experience in a leadership role with 5+ years of hands-on software engineering experience.
- Strong expertise in software architecture, data pipeline design, and scalable analytics systems.
- Experience with integrating and automating business workflows.
- Familiarity with analytics platforms such as GCP, AWS, or Azure Databricks.
- Proficiency in Python or .NET, with experience in front-end frameworks and back-end development.
- Strong knowledge of SQL, data modeling, and database optimization techniques.
- Hands-on experience with Docker, cloud platforms, and CI/CD pipelines.
- Familiarity with event-driven architectures and real-time data analytics solutions.
- Experience managing globally distributed teams.
- Experience in building machine learning solutions is a plus.
Salary (Rate): £650
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT