Data Platform Architect

About the role

We are seeking a highly experienced Data Platform Architect to lead the design, development, and optimization of enterprise-scale data platforms and modern analytics ecosystems. This role will be responsible for architecting cloud-native data solutions, designing scalable data pipelines, enabling AI-driven analytics, and establishing best practices across data engineering, integration, and platform governance.

Key responsibilities

• Design and architect scalable, cloud-native data platforms and modern analytics solutions
• Lead the development of enterprise data pipelines, ingestion frameworks, and lakehouse architectures
• Define data architecture standards, best practices, and technology roadmaps
• Design and optimize ETL/ELT frameworks supporting large-scale data processing workloads
• Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver data-driven solutions
• Drive data platform modernization, automation, and cloud migration initiatives
• Architect and support distributed data processing environments using Spark-based technologies
• Establish governance, performance, scalability, security, and operational standards across the data ecosystem
• Provide technical leadership, mentoring, and architectural oversight to data engineering teams
• Evaluate and recommend emerging technologies to support enterprise data and AI initiatives

About you

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline
• 8+ years of overall experience in Data Engineering, Data Platforms, Big Data, Analytics, or Data Architecture
• 6+ years of hands-on experience designing and delivering enterprise data solutions
• Strong experience with Snowflake and cloud-based data platforms
• Hands-on expertise in Spark, Apache Spark, and PySpark
• Experience designing and supporting modern ETL/ELT frameworks
• Knowledge of GBI ETL Frameworks and enterprise data integration practices
• Strong experience with Apache Airflow for workflow orchestration and automation
• Experience with Apache Kafka and event-driven data architectures
• Hands-on experience with Apache Iceberg and modern lakehouse architectures