▷ (15h Left) Data and Solutions Architect

4 weeks ago

Delhi, India CoffeeBeans Full time

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.

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