Role: Data Architect / Senior Data Engineer
Location: Newcastle Upon Tyne
Levels: Associate Manager
Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application.
Hybrid Working: Please note - This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
As a team:
Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients.
You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways
If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
Role Overview
As a Data Architect, you will spearhead the design and delivery of scalable, enterprise‑grade data platforms. You will define and drive data strategies, architect modern AI & data products, and ensure platforms are aligned to business and enterprise standards. Leveraging modern cloud, AI and data engineering technologies, you will deliver ethical, secure, and future‑proof data architectures that enable business transformation.
Key Responsibilities
Strategic Leadership:
Guide the development of data architecture direction for projects and clients.
Influence enterprise data strategies and drive adoption of best practices across data engineering and architecture.
Mentor and develop junior engineers and architects, fostering a culture of technical excellence and innovation.
Architectural Excellence:
Architect and design enterprise‑scale agent ready data platforms for scalability, reliability, and high performance.
Define and enforce data architecture standards, patterns, and governance frameworks for pipelines, ingestion layers, modelling, and analytics.
Architect with advanced AI and data modelling approaches to create innovative solutions suited to client needs.
Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on‑premises) using Azure, AWS, and GCP services.
Technical Leadership:
Oversee data modelling, data governance, and data quality frameworks while driving technical excellence.
Strong hands-on experience in technologies such as SQL, Python, Spark, and modern cloud data services.
Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform.
Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services
Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps).
Stakeholder Engagement:
Able to work closely with senior stakeholders to translate complex business requirements into scalable data platform solutions and translate them into technical designs.
Ensure all solutions meet security, compliance, and performance standards and align with enterprise architecture principles.
Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
Innovation & Emerging Technologies:
Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse).
Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation.
Technical Expertise
Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design.
Experience utilising distributed and non‑distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala.
Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins) with real‑world platform lifecycle management.
Infrastructure‑as‑Code expertise (Terraform, Ansible) for platform provisioning and automation.
Proficient with container orchestration (Kubernetes, Docker).
Certifications & Tools
Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau).
Experience with modern data platforms (Databricks, Snowflake).
Cloud certifications (Azure, AWS, GCP) and experience with cloud‑native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow).
Other Requirements
Minimum 8 years’ experience in client‑facing data engineering or data architecture roles.
Experience working in Agile and Waterfall environments.
Strong communication and stakeholder management skills.
Security and compliance awareness.
Relevant industry certifications (e.g., Azure Data Engineer, AWS Solutions Architect, GCP Data Engineer).
Experience mentoring or managing technical teams.
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About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Minimum 8 years' experience in client-facing data engineering or data architecture roles
- Willingness to undergo Security Clearance (including BPSS) and 5+ years UK address history
- Strong hands-on experience with SQL, Python, Spark and Scala
- Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and cloud-native data engineering tools (ADF, AWS Glue, GCP Dataflow)
- Experience with modern data platforms such as Databricks and Snowflake
- Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins)
- Infrastructure-as-Code expertise (Terraform, Ansible)
- Proficiency with containerisation and orchestration (Docker, Kubernetes)
- Experience selecting/implementing analytics and reporting tools (Power BI, Tableau, PowerApps)
- Experience working in Agile and Waterfall environments
- Strong communication and stakeholder management skills; client-facing experience
- Experience mentoring or managing technical teams
- Relevant industry certifications (e.g., Azure Data Engineer, AWS Solutions Architect, GCP Data Engineer)
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
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