At a Glance
- Tasks: Design and optimise a unified data platform using Databricks Lakehouse.
- Company: Global tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on real-time data innovation.
- Why this job: Shape the future of data architecture and drive impactful projects.
- Qualifications: Extensive experience in data architecture and strong skills in Databricks and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Data Architect/Databricks Lakehouse/is required by a global technology company to build an integrated data platform based on a unified data lakehouse architecture.
You will be responsible for
- Designing and maintaining unified data models linking CRM, ERP, and product telemetry.
- Architecting and optimising Databricks Lakehouse.
- Leading data governance, quality, and lineage.
- Defining framework and standards to improve data consistency and reliability across the company.
- Leading integration strategies, including scalable onboarding of acquired company data.
- Enabling Real Time, event-driven data flows and promoting Data-as-Code practices across the organisation.
Required Experience
- extensive experience in enterprise data architecture.
- strong expertise in Databricks.
- Deep knowledge of Salesforce data models and exposure to various cloud ERP systems.
- Data modelling.
- SQL and Python.
- Experience with APIs, Real Time data pipelines, and data governance.
- Strong communication skills, with the ability to explain complex data concepts to both technical and non-technical audience.
Data Architect/Databricks Lakehouse 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.
We think you need these skills to ace Data Architect/Databricks Lakehouse
SQL
Problem-Solving Skills
Python
Data Pipeline Development
Data Engineering
Data Governance
Communication Skills
