Data And Solutions Architect

3 weeks ago

Bhavnagar, Gujarat, India CoffeeBeans Full time
Coffee Beans 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 ResponsibilitiesSolution ArchitectureEngage 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 & EngineeringArchitect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, Big Query, 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 EnablementIntegrate 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 & DeliveryProvide 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 & Experience10+ years in data engineering, data architecture, or solution architecture roles.Hands-on expertise in cloud platforms (AWS, GCP, Azure) and Ia C (Terraform, Cloud Formation).Strong knowledge of data modeling, SQL/No SQL 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 (Lang Chain, RAG pipelines).Strong communication and client-facing skills.Good to HaveExperience 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 Coffee Beans?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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