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Tier-1 bank and metro location raise candidate density, but senior Databricks/cloud specialization limits competition.
Strong Databricks/cloud and banking governance requirements make cross-industry transfers difficult.
Strict 13+ years, architecture tenure, and specialized Databricks/cloud requirements enforce rigorous shortlisting.
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Define and drive stable, scalable, and cost-efficient target architectures across corporate data domains.
Ensure alignment of system architecture with corporate business objectives, data strategy, and governance frameworks.
Lead architectural gap analysis, risk identification, documentation, and support architectural compliance and transition phases.
13+ years of industry experience, including at least 3 years as an architect.
Expert-level proficiency in Databricks Lakehouse platform and cloud architecture (preferably AWS).
Strong hands-on experience with enterprise cloud security (IAM, VPC, encryption), data governance tools (Unity Catalog, Collibra), and big data technologies including Spark and Hadoop.
Proficiency in English required; knowledge of French is beneficial.
Extensive experience leading complex, large-scale data architecture and migration projects in corporate environments, with mastery of enterprise architectural patterns and large data platform design.
Capable of engaging in executive-level technical discussions and providing authoritative leadership on data platform engineering and security.
Strong ability to communicate complex architectural concepts clearly to technical and non-technical stakeholders, driving cross-functional collaboration and innovation.