Coffeebeans.io - Lead Data Architect

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)