Enterprise Data Architect

20 hours ago

Vellore, Tamil Nadu, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000

Job Title: Strategic Data Architect

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.

  • Design, lead, and deliver scalable, future-proof data and AI solutions for global clients.

Solution Architecture

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

Data Engineering & Governance

  • Architect modern data platforms 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., CDMC, DAMA DMBOK).

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.

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.

The ideal candidate will possess strong expertise in designing, implementing, and delivering scalable data and AI solutions. They should have experience working with various technologies, including cloud platforms, data warehouses, and AI tools.

Key Skills:
  • Cloud-based data platforms
  • Machine Learning and AI
  • Big Data and Data Warehousing
  • ETL/ELT Pipelines and Streaming Architectures
  • Data Governance Frameworks

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