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Senior data architect role with broad platform requirements and moderate employer brand, yielding medium competition.
Data architecture and cloud platform skills are broadly transferable across industries.
Specific cloud, Databricks, Snowflake and data architecture requirements create high shortlisting strictness.
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Lead assessment and transformation of complex enterprise data landscapes and architectures.
Define current and target state data platforms, models, integrations, governance, and security aligned with business requirements.
Design and recommend scalable data solutions using platforms like Azure, Databricks, Fabric, Snowflake, including development of prototypes and technical guidance.
Strong experience as Data Consultant or Data Architect working with complex data systems.
Hands-on expertise in SQL, data modelling, ETL/ELT, APIs, and modern cloud data platforms (e.g., Azure, Databricks, Snowflake).
Experience assessing data quality, lineage, ownership, and lifecycle management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in translating business requirements into scalable and practical data architecture solutions.
Skilled in collaborating with cross-functional teams including business stakeholders, application teams, and engineers to drive data solution design.
Capable of bridging technical execution with business needs through documentation and communication.
