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Why BT Group?
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BT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.
Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.
While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies.
Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.
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Why this job matters
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The Data Engineering Principal leads the AWS design, building and implementation of processes to capture, manage, store and utilise structured and unstructured data from internal and external sources, turning the most complex business needs into the data that supports the DD Ops and BT group’s data strategies. This role involves both hands-on development and providing technical leadership to teams, ensuring the delivery of high-quality, scalable, and efficient data infrastructure.
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What you’ll be doing – your accountabilities
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The skills you’ll need to succeed
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- Lead End-to-End Data Lifecycle: Own and manage the complete data lifecycle—from capturing learning interaction data to delivering consolidated insights—ensuring data is accurate, accessible, and actionable.
- Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability.
- Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem.
- Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation.
- Communicate with Impact: Translate complex technical concepts into clear, non-technical language for business stakeholders and internal customers.
- Act as a Subject Matter Expert: Serve as a go-to expert in data architecture, resolving complex issues and fostering thought leadership and technical excellence.
- Drive Standards and Best Practices: Lead the implementation of architectural guidelines and frameworks, ensuring alignment with strategic objectives and consistency across solutions.
- Monitor and Optimise Services: Define and oversee service metrics, collaborating with stakeholders to meet performance standards and client expectations.
- Innovate and Evolve Architecture: Spearhead the conceptualisation and development of innovative data services and products, aligned with evolving business needs.
- Mentor and Develop Talent: Coach and support experienced professionals, building current and future capabilities within the data architecture team.
- Lead Continuous Improvement: Identify and implement process enhancements to improve the efficiency, quality, and agility of data architecture practices.
- Cloud Governance : Utilize tools such as IAM, resource tagging, cost management, etc. to enforce AWS governance policies and implement monitoring and alerting solutions to address issues proactively.
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- Problem-solving skills
- Familiarity with cloud computing concepts
- Ability to design and implement cloud solutions
- Aware of best practices in the AWS Cloud
- Cloud governance knowledge
- Strong communication skills and the ability to articulate technical solutions clearly
- Knowledge of basic AWS offerings such as S3, EC2, RDS, RedShift, etc.
- Recognised as an expert in AWS cloud services, particularly in designing and implementing scalable data engineering solutions.
- Bring extensive experience in software architecture and solution design, ensuring robust and future-proof systems.
- Hold specialised proficiency in Python and Apache Spark, enabling efficient processing of large-scale data workloads.
- Demonstrate the ability to set technical direction, uphold high standards for code quality, and optimise performance in data-intensive environments.
- An exceptional communicator, capable of translating complex technical concepts for diverse audiences including engineers, product managers, and senior leadership.
- Provide thought leadership within engineering teams, fostering a culture of quality, efficiency, and collaboration.
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Leadership accountabilities
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Experience you’d be expected to have
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- Solution Focused Achiever -This behaviour sits within the connected to customers part of the Connected Leaders Model. Being a Solution-focused Achiever means that you always deliver your ambitious goals, outcomes and timelines. It also means that you cut through complexity and obstacles to get to the right ethical solution at the right time
- Change Agent - This behaviour sits within the connected to people part of the Connected Leaders Model. Being a Change Agent means that you identify, create and lead smooth business changes. It also means that you adapt quickly and perform effectively – even when there’s ambiguity
- Team Coach - This behaviour sits within the connected to people part of the Connected Leaders Model. Being a Team Coach means that you coach and develop your people.
- Decision Making -Gathers information, and analyses different scenarios, assesses alternative resolutions and reaches a decision
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- A bachelor’s degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.
- AWS Solutions Architect, Associate or Professional, is good to have and holds high weight.
- Strong knowledge of cloud concepts, architecture patterns, and best practices
- Proven experience in designing, implementing, and maintaining AWS solutions
- Hands-on experience with any cloud, preferably AWS, is preferred.
- Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures.
- Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows.
- In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena.
- Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data.
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Key decisions
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Being trusted: Our code
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If the job has key decision rights list these here (see RAPID guidance).
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Compliance with all BT Group policies is mandatory and applies to all BT Group employees. Policies can be accessed via the Policy Portal and should be adhered to in-line with Standards of Behaviour Policy & Procedure and the Being trusted: our code.
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Job Description – Data Architect Principal