Data Architecture
Job Description
Solution Architecture :
- 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.
- 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.