Jobs, fresher vacancy - Data Architect • Surrey

Company: codeconvergence

Surrey

Role & ResponsibilitiesPossess 15 plus years of work experience at a reputable Data & AI services firm.Outstanding written and verbal communication skills, with a flair for compelling storytelling.Lead the end-to-end architectural design for the enterprise data and analytics platform across Azure.Design scalable data ingestion, transformation, and orchestration solutions using Azure Data Factory (ADF) and Databricks.Collaborate closely with the UK Data Science team to understand analytical requirements, model needs, and integration patterns for AI/ML workloadsYou Must PossesPossess a Bachelor or master’s degree in IT, Computer Science, Engineering, Business, or Decision Sciences.Drive meaningful customer conversations and achieve positive business outcomes.Proven experience as a Technical Architect, Data Architect, or Lead Data Engineer in large enterprise environments.Strong knowledge of insurance domain processes, including policy, claims, underwriting, pricing, risk, and regulatory reporting.Hands-on expertise with:Azure Data Factory (ADF) for pipeline orchestrationDatabricks (PySpark, Delta Lake, MLflow) for data engineering and ML integrationAzure ecosystem (Key Vault, Data Lake, Synapse, Functions, Logic Apps)Strong understanding of AI/ML lifecycle, model operationalization, and integration with enterprise data platforms.Experience creating architecture standards, guardrails, governance frameworks, and engineering best practices.Deep technical knowledge of data architecture, integration patterns, CI/CD for data, pipeline monitoring, and data quality frameworks.Excellent stakeholder management and communication skills, particularly with Data Science teams and business leaders.Strong documentation and solutioning skills, capable of producing high-quality architectural blueprints.Strong understanding of data governance, metadata management, and data lineage.Proficiency in SQL for advanced data modelling, optimization, and validation.Excellent ability to translate business requirements into technical designs.Strong problem-solving and analytical thinking skills.Understanding of the Agile methodology for development and execution.Maintains an active learning approach, staying current with industry trends, and applying these insights to develop solutions, initiate new projects, and shape capability roadmaps.Contribute to the development of solutions and automation accelerators and mentor emerging Data & AI talent.Adept at recruiting top-tier Data & AI practitioners.