onsite
Senior Data Platform Architect - Nutanix
Software Engineer
Lead the design and implementation of scalable, cloud‑native data platforms, enabling enterprise analytics and machine‑learning pipelines using Snowflake, Kafka, Spark, and modern DevOps practices.
About the role
Key Responsibilities
- Design and build end‑to‑end data platform architectures on AWS and Azure, ensuring scalability, security, and high availability.
- Define data models, ingestion pipelines, and real‑time streaming solutions using Apache Kafka and Apache Spark.
- Implement and optimize data warehousing solutions with Snowflake, supporting self‑service analytics and ML workloads.
- Collaborate with data engineers, scientists, and product teams to translate business requirements into robust data solutions.
- Establish best practices for data governance, CI/CD, and infrastructure as code (e.g., Terraform, Kubernetes).
Requirements
- 10+ years of experience in data architecture and platform engineering, with a strong focus on cloud environments (AWS or Azure).
- Deep expertise in Snowflake, Apache Kafka, and Apache Spark for batch and streaming workloads.
- Proficiency in Python and SQL for data transformation, orchestration, and automation.
- Hands‑on experience with data modeling, ETL/ELT design, and data governance frameworks.
- Strong communication skills and a track record of leading cross‑functional technical teams.
Skills
snowflakeapache sparkpythonsql