Enterprise Architect (Junior - Mid Level)

PA Consulting
London
4 months ago
Applications closed

Related Jobs

View all jobs

Enterprise Data Architect

Enterprise Data Architect

Enterprise Data Architect

AWS Enterprise / Technical Architect

Data Architect

Senior Technical Architect - Utilities (6 month FTC)

Job Description

Key Responsibilities: 

  1. Enterprise Architecture Design and Strategy: 

  • Develop and implement an enterprise architecture strategy that aligns IT and business goals. 

  • Define and document technology standards, principles, guidelines, and best practices to ensure consistency across the enterprise. 

  • Lead the design of technology solutions that meet business requirements, and ensure their scalability, security, and sustainability.

  • 2.Stakeholder Collaboration: 

  • Collaborate with business leaders and IT teams to understand business processes, challenges, and technology needs. 

  • Act as a liaison between technical teams and business units to ensure that the technology architecture meets current and future needs. 

  • Provide guidance and consultation to project teams on all aspects of architecture, ensuring alignment with enterprise standards. 

  • Technology Road mapping and Solution Architecture: 

  • Develop and maintain a multi-year technology roadmap aligned with business strategy and priorities. 

  • Identify emerging technology trends and evaluate their potential impact on the organisation. 

  • Define solution architecture for specific initiatives or projects, ensuring compatibility and compliance with the enterprise architecture. 

  • Governance and Compliance: 

  • Establish and enforce enterprise architecture governance processes to ensure compliance with internal and external policies and regulations. 

  • Evaluate and monitor existing and planned systems for alignment with enterprise architecture standards. 

  • Define key performance indicators (KPIs) and metrics to assess the health and performance of enterprise architecture initiatives. 

  • Risk Management: 

  • Identify potential technology risks and develop mitigation strategies to address these risks. 

  • Conduct regular assessments of technology architecture to identify areas for improvement, cost reduction, and increased efficiency. 

  • Work closely with cybersecurity teams to ensure that architecture solutions adhere to security standards and best practices. 

  • Data Architecture and Integration: 

  • Design and implement data architecture that supports enterprise-wide data analytics, reporting, and decision-making. 

  • Ensure integration between systems and data sources to improve the accessibility and reliability of data across the organisation. 

  • Define data governance standards and practices to ensure data quality, security, and compliance. 

  • Documentation and Communication: 

  • Maintain comprehensive documentation of the enterprise architecture, including system designs, technology standards, and architecture models. 

  • Regularly communicate architecture status, risks, and recommendations to senior leadership. 

  • Provide training, support, and guidance to IT teams to help them adhere to enterprise architecture standards. 

  • Experience: 

  • 8+ years of experience in IT, with at least 3-5 years in a senior architecture role. 

  • Proven track record in designing and implementing enterprise architectures in complex organisations. 

  • Experience in various architectural domains: business, application, data, and technology. 

Technical Skills: 

  • Strong knowledge of enterprise architecture frameworks (e.g., TOGAF). 

  • Proficiency in architectural modeling tools (e.g., ArchiMate, Sparx, or similar). 

  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and integration technologies (APIs, SOA, microservices). 

  • Knowledge of cybersecurity best practices and regulatory compliance (e.g., GDPR).


Qualifications

Soft Skills: 

  • Excellent analytical, problem-solving, and decision-making skills. 

  • Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders. 

  • Ability to work collaboratively with cross-functional teams and manage multiple priorities. 

  • Strategic thinker with a proactive approach to identifying and addressing challenges. 



Additional Information

Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.

We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.

We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.

Check out some of our extensive benefits:

• Health and lifestyle perks accompanying private healthcare for you and your family

• 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days

• Generous company pension scheme

• Opportunity to get involved with community and charity-based initiatives

• Annual performance-based bonus

• PA share ownership

• Tax efficient benefits (cycle to work, give as you earn)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.