Job Title:

Senior Data Solution Architect

Location:

Bangalore

Experience:

10+ years

Key Responsibilities:

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Design and implement end-to-end data solutions: ingestion, storage, processing, visualization.

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Work with clients to gather requirements and deliver scalable, secure architectures.

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Lead presales activities: solution design, proposals, client presentations.

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Guide teams across AI lifecycle, data governance, and data modeling.

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Deploy and manage applications on Kubernetes; explore Gen AI tools.

Requirements:

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Bachelor’s/Master’s in Computer Science, Data Science, or related field.

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10+ years in data architecture and engineering.

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Solid experience with Hadoop (preferably CDP or Data Fabric), cloud data platforms (Azure/AWS/GCP), and ETL tools.

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Familiarity with Kubernetes, MLOps, and Gen AI frameworks.

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Excellent communication and project management skills.

Tech Stack Highlights:

Hadoop (Hive, Spark), Cloudera CDP, Azure Synapse, Snowflake, Apache NiFi, Kubernetes (AKS/EKS/GKE), MLflow, Hugging Face, OpenAI APIs, Kafka, Helm, CI/CD tools.

📌 Senior Data Solution Architect AI ML (Bengaluru)
🏢 VLaunchU
📍 Bengaluru