Data and Solutions Architect

1 day ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Unlocking Data Potential

CoffeeBeans is a leader in making organizations AI-ready through efficient data structuring and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions to help clients achieve faster time-to-market and cost efficiency.

We are seeking an expert who can design, lead, and deliver scalable, future-proof data and AI solutions for global clients.

  • 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 architectures covering ingestion, storage, processing, analytics, ML/AI, and visualization.
  • Ensure designs meet security, compliance, and governance requirements.
Data Architecture & Engineering Expertise

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., 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 Expertise

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.

Required Skills:

  • 10+ years in data engineering, data architecture, or solution architecture roles.
  • Hands-on expertise in cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC).
  • Strong knowledge of data modeling, SQL/NoSQL databases, streaming technologies.
  • 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, and Gen AI frameworks.
  • Strong communication and client-facing skills.

Benefits:

  • Work on 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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