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Tier-1 employer and Bangalore metro increase competition, while senior specialized architecture reduces candidate pool.
Core Azure data platform and Lakehouse expertise transfer across industries, though OSDU and oil-and-gas experience add preference.
Explicit 12-16 years plus mandatory Azure Databricks, PySpark, and enterprise architecture skills enforce strict shortlisting.
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Own end-to-end technical and architectural design of complex enterprise data solutions ensuring alignment with business objectives and enterprise standards.
Define scalable, secure, and cost-effective solution architectures and provide architectural governance across delivery teams.
Drive adoption of architecture design standards and propose alternative solutions aligned with enterprise principles when necessary.
12-16 years of experience in solution architecture, system design, and enterprise scale delivery.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Strong expertise in Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, and modern data orchestration tools.
Experience with DevOps and CI/CD tooling such as Azure Pipelines, GitHub Actions, Terraform or similar.
Experienced in designing large-scale data platforms and Lakehouse-style architectures with strong knowledge of data governance, security, and cloud cost optimization.
Proven ability to influence architectural decisions and communicate complex designs clearly to stakeholders across multiple teams.
Hands-on expertise in building end-to-end data pipelines with Python and PySpark and familiarity with microservices, APIs, Kafka, and integration frameworks.