Vacancy description
Coffeebeans Consulting
India, Bengaluru
AWS System Architect in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
About Us CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency .
We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.
Engage with clients to understand business goals, technical constraints, and AI/data maturity.
data, analytics, AI, and cloud .
Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
Data Architecture & Engineering
Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
Design robust ETL/ELT pipelines , streaming architectures, and real-time analytics solutions.
Define data models, metadata management, and master data strategies .
Implement data governance frameworks (e.g., AI & MLOps Enablement
Integrate ML/Gen AI solutions into the data platform architecture.
Work with Data Scientists to operationalize AI models using MLOps best practices.
Evaluate LLM integration , vector databases, and AI agents within enterprise architectures.
Review designs, code, and deployment plans for quality and scalability.
Required Skills & Experience
12+ years in data engineering, data architecture, or solution architecture roles.
Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
Strong knowledge of data modeling , SQL/NoSQL databases , streaming tech (Kafka, Pub/Sub, Kinesis).
Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
Knowledge of data governance, security, and compliance frameworks.
Familiarity with AI/ML architectures , MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
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