Data and Solutions Architect

CoffeeBeans; Bengaluru Urban; On-site; INR 1,200,000 - 1,700,000; Full time

Benefits offered by this job

Flexible work culture

Cutting-edge AI projects

Collaboration opportunities

Job summary

A tech consulting firm is seeking a Data & Solution Architect in Bangalore Urban, Karnataka. The role involves designing and delivering scalable data and AI solutions, engaging with clients to understand business requirements, and leading engineering teams. Candidates should have over 10 years of experience in data architecture and strong expertise in cloud platforms and data modeling. This full-time position offers the chance to work on cutting-edge AI projects in a collaborative environment.

Qualifications

• 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, and streaming technologies.

Responsibilities

• Engage with clients to understand business goals and technical constraints.
• Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI.
• Architect modern data platforms and design robust ETL/ELT pipelines.

Skills

Data engineering

Data architecture

Solution architecture

Cloud platforms (AWS, GCP, Azure)

SQL/NoSQL databases

Streaming tech (Kafka, Pub/Sub, Kinesis)

Data governance

AI/ML architectures

Tools

Databricks

Snowflake

Terraform

MLflow

Kubeflow

Job description

Overview

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.

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.

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.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Bangalore Urban, Karnataka, India