Data & Solution Architect

2 weeks ago

Bengaluru Karnataka, India CoffeeBeans Consulting Full time

**Job Title**: Data & Solution Architect

**Location**: Bangalore, India (Hybrid)

**Experience**: 10+ years in Data & Solution Architecture

**Reports to**: CTO

**About Us**
- 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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