About the role
Senior Data Solution Architect
Location:Bangalore
Experience:10+ years
Key Responsibilities:-
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.
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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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Strong 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.
Hadoop (Hive, Spark), Cloudera CDP, Azure Synapse, Snowflake, Apache NiFi, Kubernetes (AKS/EKS/GKE), MLflow, Hugging Face, OpenAI APIs, Kafka, Helm, CI/CD tools.