Data and Solutions 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. 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 Data & Solution Architect who can design, lead, and deliver scalable, future-proof data and AI solutions for our global clients.Key Responsibilities

Solution Architecture

• 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.

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., 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.

Required Skills & Experience

• 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.

Good to Have

• Experience in BFSI, Retail, or Healthcare domains.
• Certification in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, etc.).
• Exposure to business consulting and pre-sales solutioning.

Why CoffeeBeans

• 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.