Achieve Success as a Senior Data Architect

3 days ago


Kozhikode, Kerala, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Unlock the Power of Data and AI Solutions

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CoffeeBeans Consulting is a leading tech consulting firm that specializes in making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We focus on delivering scalable, future-proof data and AI solutions to our global clients.

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Key Responsibilities:

  • Engage with clients to understand business goals, technical constraints, and AI/data maturity.
  • Translate requirements into scalable solution blueprints across data, analytics, AI, and cloud.
  • Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
  • Ensure designs meet security, compliance, and governance requirements.
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Data Architecture & Engineering Expertise

We architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc. Our expertise includes designing robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.

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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.

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Leadership & Delivery

Provide technical leadership to engineering teams. Review designs, code, and deployment plans for quality and scalability. Work closely with client stakeholders, delivery managers, and CTO to ensure success.

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Requirements

  • 10+ 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).
  • Strong communication and client-facing skills.
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Benefits

Work with cutting-edge AI and data projects across industries. Be part of a fast-growing AI-first consulting company. Flexible, collaborative, and innovation-driven culture.

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