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Senior, niche data-platform role with 12+ years reduces applicant density despite Pune metro location.
Highly domain-specific data platform, streaming, and security expertise required, limiting cross-industry transferability.
Explicit 12+ years plus mandatory streaming, lakehouse, vector DB, security, and cloud expertise.
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Own the architectural blueprint and core implementation of a petabyte-scale data platform ingesting and processing high-velocity streaming and batch security telemetry.
Collaborate with AI engineering leadership to design data storage, retrieval, and feature stores optimized for low-latency AI inference and training.
Architect multi-tenant, zero-trust data governance and optimize infrastructure for cost efficiency and ultra-low latency performance.
12+ years of experience in data engineering and architecture, specifically with high-throughput streaming datasets such as network logs or telemetry.
Expertise in distributed streaming and batch processing frameworks like Apache Flink, Spark, Kafka, Pulsar, and modern lakehouse architectures (Iceberg, Delta Lake).
Proficiency in hybrid storage systems including relational databases, NoSQL, columnar engines (ClickHouse, DuckDB), and vector databases (Milvus, Qdrant, Pinecone).
Strong knowledge of secure data architectures, network security, encryption, containerization (Kubernetes), and cloud-native infrastructure (AWS/GCP/Azure).
Technical leader with proven ability to design and deliver scalable, high-performance distributed data platforms handling petabyte-scale streaming data.
Experienced in maintaining strict multi-tenant, zero-trust data governance in sensitive security environments.
Operates effectively in ultra-lean teams combining visionary architecture skills with hands-on coding and pragmatic solution delivery.