Solution Architect

Candidate Description

A seasoned Solutions Architect and Lead Data Engineer with more than two decades of international experience, this professional excels at designing and delivering cloud-native data and AI platforms across sectors such as banking, transportation, telecommunications and life sciences. Leveraging deep expertise in Microsoft Azure, Databricks, Snowflake and Microsoft Fabric, they have guided enterprises including a Technology Company, a Major Bank and an Automotive Company through complex digital transformations, integrating modern lakehouse patterns, rigorous data governance and advanced analytics.

Their technical acumen is showcased through hands-on delivery of incremental and streaming pipelines, Delta Lake architectures and CI/CD-enabled deployments. Adept in Azure Data Factory, Spark, OneLake and Purview, this professional has migrated legacy systems from Sybase, MongoDB and Oracle to scalable cloud solutions, re-pointed over 150 SSRS reports to Snowflake and embedded machine-learning capabilities such as NLP and computer vision into data workflows. Projects consistently benefit from robust medallion designs, reusable PySpark frameworks and automation that accelerate insight generation while controlling cost.

Beyond technical depth, the candidate provides strategic leadership, mentoring cross-functional teams and liaising directly with C-suite stakeholders to translate business objectives into actionable roadmaps. Their proactive engagement in pre-sales, governance forums and innovation POCs demonstrates a commitment to continuous improvement and stakeholder value. Adaptable across industries and cultures, they deliver scalable, secure and future-ready data ecosystems that empower organisations to harness analytics and enterprise-wide AI with confidence.