Senior Architect – Data Platforms

Position Overview :

The Senior Architect will lead the design and development of modern data architectures leveraging Snowflake, Kafka, Splunk, Airflow, AWS, Apache Iceberg, and Presto. This role requires deep expertise in distributed data platforms, cloud infrastructure, real-time streaming, and scalable analytics solutions. The ideal candidate will drive both technical leadership and architectural vision for enterprise-scale systems.

Key Responsibilities

• Lead end-to-end architecture for secure, scalable, and high-performance data platforms utilizing Snowflake, Kafka, and AWS services.
• Architect, implement, and optimize real-time and batch data pipelines using Airflow, Apache Iceberg, Presto, and Kafka Streams.
• Drive integration of Splunk for operational analytics, logging, and monitoring across data platforms.
• Develop and enforce architecture best practices for metadata management, governance, streaming ingestion, and cloud-native data warehousing.
• Collaborate with data engineers and DevOps teams to ensure efficient APIs, data models, connectors, and cloud microservices.
• Optimize cost, performance, and reliability of solutions across AWS infrastructure and underlying data services.
• Lead technology strategies for advanced analytics, data lake implementation, self-service tools, and machine learning enablement.
• Mentor engineers, review code and architectures, communicate technical concepts to stakeholders, and create technical documentation.

Experience and Skills

Preferred Skills