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Job Description

About the Role :


We are looking for a hands-on Data Architect who can be the technical lead for complex data engineering projects for both internal and external customers across Databricks and Snowflake ecosystems.


You will act as the trusted advisor for key customers, helping them on their journey to extract value from data. Day-to-day you will interact with senior stakeholders to understand the opportunities that exist to drive business value from data and translate those opportunities into technology solutions. You will be the technical authority within each customer you work with and help to steer the customer in the right direction from a strategic perspective.


Key Responsibilities :


- Acting as a trusted advisor and thought leader for key, strategic customers (both internal and external)


- Acting as a technical authority within customers to advise them on complex technical issues


- Triaging customer requirements/use cases and assembling the right team of experts to deliver


- Engaging with senior stakeholders to steer their data platform strategy in alignment with business needs


- Lead data delivery project work


- Technical presales engagements


- Document enterprise data architectural designs


Skills & Experience :


Essential :


- A minimum of 5 years proven experience delivering complex technical change within data, digital, or technology- led environments


- Understanding of data platform methodologies and architecture approaches (Kimball, Inmon, Data Vault, Data Mesh, Data Products, Lakehouse's, etc.)


- The ability to document architectural designs in the form of conceptual, logical and physical models-


- Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single customer view


- Ability to present technical solutions in a way that engages both technical and non-technical stakeholders


- Technical Skills : Microsoft Azure , Databricks , Snowflake, Microsoft Fabric, Azure Synapse Analytics , Data Engineering, Data Modelling, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure, Application Integration


- Experienced in the delivery of complex data & AI solutions


- Strategic and operational decision-making skills


- Ability to guide, direct or influence people


- Ability to identify opportunities and issues


- Willingness to learn based on feedback


- Able to help others develop


- Willingness to stay up to date with the latest trends, technologies and best practices


- Experience working within agile, fast-moving environments


Desirable :


- Experience of TOGAF, DAMA or a similar architectural framework


- Experience of data management tools such as Purview, CluedIn, Collibra, Informatica or Profisee


Behavioural Competencies :


- Collaborative : Builds strong relationships with stakeholders, the business & technology, promoting shared ownership of change outcomes.


- Influential : Able to challenge constructively, shape decisions, and guide stakeholders through change with clarity and confidence.


- Delivery- focused : Takes ownership of outcomes, drives momentum, and removes blockers to ensure change lands successfully.


- Structured thinker : Organises information coherently, produces credible plans, and maintains clarity across fast- moving workstreams.


- Adaptable : Responds well to ambiguity, adjusts approach as delivery evolves, and thrives in an environment of continuous iteration.


- Detail- oriented : Ensures quality, accuracy and completeness across deliverables, logs, timelines and communications.


- Proactive : Anticipates risks and issues, drives early mitigation, and maintains strong governance discipline.


- Continuous improvement mindset : Seeks opportunities to enhance ways of working, improve processes and embed best practice across Agile teams.


- Resilience : Demonstrates the ability to remain effective, composed and solution-focused when faced with pressure, setbacks or rapidly changing circumstances.


Education & Certifications :


- Databricks Certified Associate / Professional


- Databricks Partner Solution Architect Champion


- SnowPro Advanced : Data Engineer


- SnowPro Advanced : Architect


- Microsoft Azure Certifications - Data Engineering, AI, Solution Architecture

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