Coffeebeans.io - Lead Data Architect

CoffeeBeans; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

CoffeeBeans Consulting is seeking a Data & Solution Architect to design and deliver scalable data and AI solutions for global clients. You will lead architecture across ingestion, storage, processing, analytics, ML/AI, and governance, working with clients and delivery teams.

Ideal candidates have 10+ years in data engineering/architecture, strong cloud and MLOps experience, and a track record of guiding complex data platforms using Databricks, Snowflake, and related tools.

Qualifications

• 10+ years in data engineering, data architecture, or solution architecture roles.
• Hands-on with cloud platforms (AWS, GCP, Azure) and IaC tooling.
• Strong data modeling, SQL/NoSQL, and streaming tech experience.
• Proven experience with modern data stacks (Databricks, Snowflake, or equivalent).
• Knowledge of governance, security, and compliance in data platforms.

Responsibilities

• Engage with clients to translate goals into scalable data/AI architecture.
• Define end-to-end architecture for ingestion, storage, processing, analytics, ML/AI, and governance.
• Lead design reviews, and ensure security and compliance standards.
• Collaborate with delivery teams to realize scalable data platforms.

Skills

Data architecture

Data engineering

Solution architecture

Cloud platforms

MLOps

Gen AI

Leadership

Client-facing

Tools

Databricks

Snowflake

BigQuery

Redshift

Kafka

Pub/Sub

Kinesis

Terraform

CloudFormation

MLflow

Kubeflow

LangChain

Job description

Years of Experience : 8 - 15 Years

Location : Bangalore

Notice Period : Immediate to 30 days

Preferred : Databricks Certification

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.

(ref:hirist.tech)