Data Architect

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Role Overview

Key Responsibilities

• Design and implement scalable, efficient data architectures leveraging Snowflake.
• Develop and maintain robust ETL/ELT pipelines using dbt, FiveTran, and Airflow.
• Design strong data models and dimensional models to support analytical needs.
• Ensure data integrity, security, and governance across the data ecosystem.
• Optimize data pipelines for performance, scalability, and cost-effectiveness.
• Implement reverse ETL solutions using Hightouch for operational analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions.
• Manage and scale infrastructure on AWS, GCP, or Azure.
• Proactively monitor, troubleshoot, and optimize data workflows.
• Drive and implement best practices in data architecture, modeling, and cloud cost management.
• Stay abreast of emerging technologies and trends in the data engineering and architecture space.
  

Required Skills And Experience

• 10+ years of experience in Data Architecture and Engineering roles.
• Strong hands-on expertise with Snowflake.
• Deep experience with dbt (Data Build Tool) for data modeling and transformations.
• Solid working knowledge of FiveTran, Airflow, and reverse ETL tools like Hightouch.
• Advanced proficiency in SQL and Python.
• Strong understanding of dimensional data modeling and data warehousing concepts.
• Proven experience with cloud platforms (AWS, GCP, or Azure).
• Experience working with ERP systems (especially NetSuite) is an added advantage.
• Excellent problem-solving, communication, and collaboration skills.
  

Additional Information

• Candidates must be available to join immediately.
• Candidates must be willing to work onsite in Hyderabad for the first 1 week (post that, work from anywhere - Pan India)