Data Architect

📋 Description

• Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions
• Work directly with clients to understand business objectives, data challenges, and technical
• Design and implement data pipelines for both real-time and batch ingestion using modern
• Establish and enforce best practices for data cataloging, metadata management, data lineage, and
• Define and implement data security, access controls, and governance frameworks that meet enterprise
• Serve as the technical lead for project teams, mentoring engineers, reviewing technical solutions

🎯 Requirements

• At least 6 years of progressive experience in software engineering and data platform development.
• At least 5 years of experience architecting data platforms on Google Cloud Platform (GCP) and/or
• Proven hands-on experience designing and deploying Data Lakehouse platforms, including data
• Strong understanding of real-time and batch data ingestion patterns, ETL/ELT pipeline design, and
• Expertise in data modeling, storage optimization, partitioning strategies, and performance tuning
• Experience implementing data governance, security, and cataloging solutions using Dataplex, Data

🎁 Benefits

• Annual salary range of $160,000–$200,000.
• Comprehensive health insurance.
• Paid vacation and paid time off (PTO).
• Paid holidays.
• Sick leave.
• Parental leave.