Senior Data Architect
4 weeks ago
About the Role:
We are seeking a highly experienced technical leader to drive innovation and engineering excellence through data solutions across the Data team and wider Engineering organisation.
Key Responsibilities:
- Articulate and evangelise a bold technical vision, develop and execute our Data, ML and AI technology strategy
- Be an advocate for modern technologies and patterns, sharing customer and engineering benefits to gain buy-in
- Champion a culture of engineering excellence, continuous improvement, and being well managed
- Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed
- Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent
About the Team:
Capital One's Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications and ML driven models that help our customers.
What You'll Do:
- Serve as an authoritative engineering expert across functional and non-functional requirements, and a problem solver to our engineering teams across Data Engineering
- Be a role model for engineers at all levels looking to grow in the Individual Contributor career track
- Be an effortless communicator across tech, architecture, product and other senior stakeholders, both within the UK and across the wider Enterprise
Requirements:
- Recognised as a leading expert in Data Technology, including ML and AI, with deep understanding of industry trends and how they can be leveraged by the business to inform our strategic direction
- A technology expert with deep expertise in Streaming Data, Event Driven Architectures, Data LakeHouse (inc. Data Products, ELT, Distributed Data Processing, Snowflake), Data Governance, Python, Spark, Java, AWS Cloud technologies (e.g. Serverless, DynamoDB etc...) and working experience of ML and GenAI
- Proficient in software development principles, patterns, and practices. Able to drive the adoption of modern software engineering methodologies and tools, ensuring consistency and quality across teams
What's in it for you:
- Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
- We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
- Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
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