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Senior, niche data-platform role in Bangalore with moderate-brand company and specialized tech requirements.
Highly specialized platform and cloud data skills make cross-industry transfers difficult.
Multiple mandatory technical requirements (8+ years, Java, Spark, lakehouse, cloud) drive high shortlisting strictness.
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Own the end-to-end architecture and evolution of the data platform covering ingestion, storage, transformation, orchestration, and serving to support business scale.
Lead technical decisions on platform components, design high-throughput batch and real-time data pipelines, and enforce data modeling and governance standards.
Provide technical leadership including mentoring engineers, incident escalation, and translating architectural strategy into actionable implementation guidance.
8+ years software or data engineering experience, with at least 5 years on large-scale data systems.
Proficiency in Java (mandatory), expert-level SQL, Python/Java/Scala, and experience with distributed processing frameworks (e.g., Spark, Flink).
Hands-on experience with cloud data warehouses/lakehouses (Snowflake, BigQuery, Databricks, Redshift) and event-driven systems like Kafka.
Work Experience Required: 8+ years in relevant engineering roles. Notice period: Not explicitly mentioned in the JD.
Demonstrated ability to architect and lead adoption of large-scale, distributed, event-driven data systems in production environments.
Experience driving platform-wide data quality, security, and cost optimization practices with a focus on scalable and reliable solutions.
Strong technical leadership proven through mentoring senior and mid-level engineers and influencing cross-functional teams on execution and design decisions.