Technical Architect

CoffeeBeans; Bengaluru Urban; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A tech consulting firm is seeking a Principal Engineer to design and implement scalable AI-driven solutions. You will work on modern data architecture, lead engineering teams, and engage with clients to ensure business goals are met. The ideal candidate has 12+ years in data engineering or architecture, expertise in cloud platforms, and strong leadership skills. This full-time position is based in Bangalore Urban, Karnataka, India.

Qualifications

• 12+ years in data engineering, data architecture, or solution architecture roles.
• Hands-on expertise in cloud platforms and Infrastructure as Code (IaC).
• Proven experience with modern data stack tools.

Responsibilities

• Engage with clients to understand their business goals and data maturity.
• Architect modern data platforms and design robust ETL/ELT pipelines.
• Provide technical leadership to engineering teams and review designs.

Skills

Data engineering

Cloud platforms (AWS, GCP, Azure)

Data modeling

SQL/NoSQL databases

Streaming tech (Kafka, Pub/Sub, Kinesis)

AI/ML architectures

Strong communication skills

Tools

Databricks

Snowflake

Terraform

CloudFormation

MLflow

Kubeflow

LangChain

Job description

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 Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.

Key Responsibilities

• Engage with clients to understand business goals, technical constraints, and AI/data maturity.
• Translate requirements into scalable solution blueprints across tech stack and infrastructure.
• Expert in microservices and design patterns. 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

• 12+ 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Location: Bangalore Urban, Karnataka, India.