At a Glance
- Tasks: Design and own scalable data architecture for analytics and AI initiatives.
- Company: Join a growing AI & Data Team in a dynamic tech environment.
- Benefits: Competitive salary up to £94K/Euro 110K, with opportunities for growth.
- Other info: Collaborate with diverse teams and make a real impact on enterprise data solutions.
- Why this job: Lead innovative projects using cutting-edge cloud technologies like Databricks.
- Qualifications: Experience with Databricks, data governance, and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
There are 2 locations for this role - Location: London/Germany (Munich)/Nearshore
Salary - Upto £94K/Euro 110K
We're looking for an experienced Data Architect to join a growing AI & Data Team, leading the design of modern, scalable data platforms that power analytics, automation and AI across the enterprise.
What you'll be doing:
- Design and own enterprise data architecture across modern cloud and lakehouse platforms, enabling business intelligence, analytics and AI initiatives.
- Develop conceptual, logical and physical data models, creating trusted, reusable data assets that support reporting and advanced analytics.
- Define data integration architecture for batch, streaming, API and event-driven data pipelines, ensuring scalability and performance.
- Establish best practices for Data Governance, Data Quality, Metadata Management, Data Lineage, security and privacy across the data estate.
- Work closely with Data Engineers, Product Owners and business stakeholders to translate business requirements into robust, secure and maintainable data solutions.
- Provide technical leadership through architecture reviews, standards, design governance and mentoring, while driving best practice across engineering teams.
- Leverage modern cloud technologies including Databricks, Spark, Microsoft Fabric, Azure Data Lake, Synapse and Azure Purview to deliver enterprise-grade data platforms.
Essential Skills:
- Strong experience with Databricks and modern lakehouse architectures.
- Expertise in Data Governance, Data Quality, Metadata Management, Data Integration and Enterprise Data Architecture.
- Advanced SQL, data modelling and cloud data platform experience.
- Excellent stakeholder management and communication skills.
- Proven track record delivering enterprise data architecture in production environments.
Data Architect employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
