Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
About the role
- Data Architect leading design and governance of high-quality data architectures for clients. Collaborating with engineering teams and stakeholders to transform business challenges into scalable data solutions.
Responsibilities
- Define, own and evolve enterprise‑grade data architectures, ensuring scalability, sustainability and alignment with client objectives.
- Lead the design of cloud‑based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams.
- Act as a trusted technical partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence.
- Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality.
- Stay current with emerging data platform technologies, architectural patterns and cloud-native capabilities. Proactively share insights and drive innovation across the wider engineering team.
- Periodically attend client sites to enhance relationships and ensure architectural direction aligns with strategic outcomes.
Requirements
- Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes.
- Proven expertise designing cloud-native data platforms across Azure, GCP or AWS.
- Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling).
- Experience with modern data transformation approaches — familiarity with DBT and analytics engineering principles is beneficial.
- Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps, Azure Data Factory, BigQuery, Databricks, MS Fabric, Airflow, Snowflake etc.
- Demonstrated experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption.
- Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design.
- Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value.
- Experience with infrastructure as code, especially Terraform, to ensure architectural consistency and deployment scalability.
- Ability to inspire, guide and elevate cross-functional engineering teams.
- Solid understanding of Agile delivery and cross-functional collaboration.
Benefits
- (Really) flexible hyrbid working – we don’t mind when, where or how you work; you are trusted to work in the way that suits you best.
- Genuine care and support for your health and wellbeing – free therapy sessions, financial education, birthday treats and much more.
- Incredible training and learning opportunities – you’ll be surrounded by the best in the business and encouraged to keep growing.
- Freedom and empowerment to own problems and explore new ideas – we allow our consultants to actually be consultants, not just bodies.
- A supportive, friendly team – we work hard and enjoy spending time together, whether it’s in-person at socials or via silly Slack conversations.
- Dog friendly offices – we’re a team of dog lovers, so we’ve made our offices dog friendly!
- An enhanced benefits package
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