Data Architect

In order to be considered the following is required: * Relevant qualification in information technology, informatics, computer science or a related field, or equivalent architecture experience * Cloud architecture, data platform, information security or enterprise architecture certification is advantageous * Telecommunications experience, particularly customer, billing, network or service assurance data, is advantageous * Substantial experience designing enterprise data architectures and translating business processes into scalable data models * Strong SQL and modelling skills across relational, dimensional and semantic structures, including star and snowflake schemas * Experience with SQL Server and other enterprise databases, data warehousing, metadata, performance tuning and analytical consumption layers * Practical knowledge of ETL or ELT and cloud Lakehouse patterns; experience with Databricks, PySpark, Delta Lake and Azure or AWS is valuable * Ability to design API-led integrations and data flows between legacy and modern platforms, including clear data quality and lineage controls * Understanding of BI needs and tools such as Power BI or Qlik, with the ability to define consistent, reusable measures * Sound governance, security and privacy judgment; clear documentation and communication with technical and executive stakeholders Expected Deliverables: * Approved and reusable data models * Documented architecture decisions and data contracts * Improved data quality and lineage * Reliable and performant data pipelines * Consistent and trusted measures across reporting and analytics * Successful delivery of the agreed data architecture roadmap Responsibilities: Be Different Recruiter