Job
Description
Job Title: Data Architect Location: Hyderabad Employment Type: Full-time Role Overview Seeking a highly skilled and modern Data Engineering Architect to lead technical teams in architecting and delivering cutting-edge data solutions across multiple cloud platforms. This role requires deep expertise in Azure, Snowflake, and Databricks, along with a strong background in data engineering, architecture, and analytics. As a Architect , you will drive end-to-end data solutioning, oversee data pipeline development, and ensure scalability, performance, and security while aligning solutions with business objectives. Key Responsibilities: Solution Architecture: Design and implement modern, scalable, and high-performance data architectures across cloud platforms (AWS, Azure, GCP). Data Engineering & Integration: Develop, optimize, and manage ETL/ELT pipelines , data lakes, and real-time streaming solutions using Snowflake, Databricks, and cloud-native tools . Cloud Data Platforms: Deploy and manage data warehousing, analytics, and lakehouse solutions AI & ML Integration: Collaborate with data scientists to integrate AI/ML models into data pipelines and optimize analytics workflows . Data Governance & Security: Implement data governance frameworks , compliance (GDPR, CCPA), role-based access controls , and best practices for security across multi-cloud environments. Technical Leadership: Lead and mentor a team of data engineers, define best practices , and drive innovation in data engineering strategies. Performance Optimization: Ensure cost-efficient and high-performance data processing , leveraging Spark, DBT, and cloud-native tools . Cross-Cloud Integration: Design interoperable solutions that leverage multi-cloud capabilities for data movement, transformation, and analytics. Stakeholder Management: Collaborate with business leaders, data analysts, and engineering teams to deliver data-driven solutions aligned with business needs.
