
Leading Data Architect
21 hours ago
Job Description
CoffeeBeans Consulting specializes in making organizations AI-ready through data structuring across various sources, enabling AI-driven solutions.
Key Responsibilities
- Engage with clients to understand business goals and technical constraints.
- Translate requirements into scalable solution blueprints.
- Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
- Ensure designs meet security, compliance, and governance requirements.
Required Skills & Experience
A highly skilled Data Architect should possess:
- 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.
Why Join?
- Work with cutting-edge AI and data projects.
- Be part of a fast-growing AI-first consulting company.
- Flexible, collaborative, and innovation-driven culture.
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