Data Architect

Technical Requirements

• 7+ years experience in data architecture, data engineering, or enterprise data platforms
• Snowflake (
  performance tuning
  , RBAC, resource management, streams, tasks, data sharing)
• Oracle Exadata – strong SQL and ELT/ETL framework experience
• Cloud data services experience (Azure and/or AWS)
• Proven experience designing analytical data models:
  • Star schema
  • Snowflake schema
  • Data vault
  • Semantic layers
• Experience building scalable pipelines using tools like:
  • dbt
  • Airflow
  • ADF
  • Databricks
  • Informatica
  • Talend (highly preferred)
• Experience with tool‑based data pipeline development (Talend or Informatica strongly desired)
• Experience with Dataiku for analytics and ML enablement
• Strong communication and cross‑functional collaboration skills

• Experience with AI/ML data architecture or feature pipelines
• Exposure to Data Ops / CI-CD frameworks
• Experience migrating from on‑prem (Oracle) to cloud (Snowflake on Azure)

• Lead technical architecture strategy across enterprise data platform initiatives
• Define and enforce ETL/ELT architecture, standards, and best practices
• Design scalable data pipelines (batch, streaming, real‑time)
• Oversee Snowflake architecture including governance, RBAC, and performance optimization
• Review data engineering pipeline designs and ensure quality and scalability
• Provide technical leadership to data engineers and data scientists (no direct management)
• Establish reusable frameworks, patterns, and blueprints for pipelines
• Drive enterprise data modeling and semantic layer design
• Collaborate across engineering, analytics, and business teams
• Lead data platform governance, including cost optimization, security, and observability
• Support enterprise migration efforts (Oracle → Snowflake on Azure)
• Conduct architecture reviews, troubleshooting, and performance tuning

Insight Global is seeking an IT Architect – Data & Snowflake for a leading enterprise analytics initiative. This individual will serve as a strategic technical leader responsible for designing and evolving a modern enterprise data platform. The role focuses on architecting scalable, high‑performance data pipelines and establishing best practices across Snowflake and cloud ecosystems. This architect will guide a team of data engineers and data scientists by defining pipeline frameworks, governance standards, and architecture strategy while remaining hands‑on at a design and review level.

The ideal candidate brings deep expertise in Snowflake, Oracle Exadata, and ETL/ELT tooling (with a strong preference for Talend), along with experience building enterprise‑grade data models and enabling analytics and AI/ML use cases. This is a high‑impact, long‑term role within a multi‑year data transformation initiative, offering the opportunity to shape enterprise data strategy, drive technology decisions, and influence every major data‑related project across the organization.