Data Architect (Databricks & Snowflake)

Job Description

We are seeking a hands-on Data Architect with strong engineering skills and practical experience with Databricks and Snowflake to lead enterprise data architecture engagements at client sites.

Must-Have Skills

Tier 1: Core Architecture and Engineering

• Data Modeling: Strong experience with conceptual, logical, and physical data modeling.
• SQL and Query Optimization: Advanced SQL skills, query performance tuning, and optimization techniques.
• Databricks: Hands-on experience with Databricks architecture, Lakehouse design, Delta Lake, data processing, and pipeline development.
• Snowflake: Hands-on experience with Snowflake architecture, data warehousing, data modeling, performance optimization, and scalable data platform design.
• Data Engineering: Experience designing and implementing ETL/ELT pipelines, data transformations, and large-scale data processing workflows.
• Data Warehousing and Lakehouse: Strong understanding of modern data warehouse, lakehouse, and cloud-native data architecture patterns.
• Cloud Data Platforms: Experience designing and implementing solutions on AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
• Data Governance: Experience defining data governance frameworks, data quality standards, security controls, and access management.
• Data Integration: Strong understanding of REST APIs, event-driven integration patterns, and enterprise data integration.