Data Architect
Gokul NathUnited StatesMIDPosted 6d ago
Azure DatabricksSnowflakeApache SparkPySparkSQLEnterprise Data ArchitectureData WarehousingData LakesLakehouseData GovernanceData Quality
About the Role
We are looking for an experienced Data Architect to join our team. This role focuses on designing and implementing scalable enterprise data architectures using Azure Databricks and Snowflake.
Key Responsibilities
• Design and implement scalable enterprise data architectures using Azure Databricks and Snowflake
• Define data models, data integration patterns, and governance standards for structured and semi-structured data
• Architect and optimize data pipelines using Spark, PySpark, SQL, and cloud-native services
• Collaborate with business and technical stakeholders to translate reporting and analytics requirements into data solutions
• Lead data platform modernization initiatives and establish data engineering best practices
• Ensure data quality, lineage, security, and regulatory compliance
• Drive performance optimization, scalability, and reliability of data platforms
• Design and support enterprise data warehouses, data lakes, and lakehouse architectures
• Develop trusted and governed data assets for regulatory and operational reporting
• Provide technical leadership and architectural guidance throughout the project lifecycle
Requirements
• Strong expertise in Azure Databricks and Snowflake
• Experience with Apache Spark & PySpark
• Proficiency in SQL
• Knowledge of Enterprise Data Architecture
• Understanding of Data Warehousing, Data Lakes & Lakehouse
• Experience with Data Governance & Data Quality