Staff, Data Architect

Job Description

Hands on design experience and understanding in designing and developing data processing patterns to simplify the complexity of real-world data engineering architecture. Patterns which are cost-efficient, scalable, provide performance and reliability of a modern Lakehouse, with low latency of streaming, Be part of the Data Architecture team to design and develop the standard framework modules, high performance services and client libraries for big data using one or more tools from GCP Databricks, Big Query, Data proc, Kafka, Kubernetes, spark, Data Flow, Google Cloud Storage and Airflow. Hands on experience in operationalizing tens of hundreds of data pipelines, deploy, test & upgrade pipelines and best practices to eliminate operational burdens for managing and building high quality data pipelines. Expertise in query optimizer and execution engine that's fast, tuning free, scalability, ACID transactions and time travel patterns using spark jobs, DBT on Databricks and Big Query. Quickly evaluate various technologies and complete POC driving architecture design for the applications Work in complex environment with multi location teams Work in team of agile developers Lead Architecture Review forums