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Tier-1 brand and Bangalore metro increase competition, but seniority and niche data-platform skills moderate it.
Core cloud data platform and lakehouse architecture skills transfer across industries, but energy/OSDU knowledge is optional.
Mandatory 12–16 years, specific Azure Databricks, PySpark, ADLS and architecture requirements produce high shortlisting strictness.
Own end-to-end technical and architectural design of complex enterprise solutions aligned with business objectives and enterprise standards.
Bridge business strategy and technology execution by defining scalable, secure, cost-effective solution architectures and providing architectural governance.
Guide delivery teams through design and implementation ensuring adherence to performance, scalability, reliability, and cost optimization.
12-16 years of experience in solution architecture, system design, and enterprise scale delivery.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Strong expertise with Azure Databricks, PySpark, Delta Lake, Azure Data Factory, Synapse Analytics, and data orchestration tools.
Experience with DevOps and CI/CD tools such as Azure Pipelines, GitHub Actions, Terraform or similar.
Experienced in designing large-scale data platforms and Lakehouse architectures with strong data governance and security knowledge.
Capable of influencing architectural decisions and aligning multiple architects and stakeholders to enterprise design standards.
Proficient in driving DevOps/CI/CD practices at the architecture level with a focus on non-functional requirements like scalability, reliability, and cost optimization.