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# Senior Software Engineer, Data Platform

- **Company:** Moveworks, Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, C++ (Programming Language), Cloud Computing, Data as a Services, Data Discovery, Data Infrastructure, Data Security, Data Warehousing, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Machine Learning, Data Processing, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Kafka, Non-relational Database, Machine Learning Operations, Amazon Elastic Mapreduce (EMR), Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_e449d0849ae25ab6917a58ee6764754b

## About the Role

* 6+ years of experience as senior/software engineer
 * Experience with Python or Golang or Java or C++
 * Experience with cloud infrastructure like AWS/GCP/AzureExperience with relational or non-relational databases such as Postgres, AWS DataLake/S3 or DynamoDB or Snowflake
 * BS or higher in Computer Science or a related field.

## Description

* Design, build, and operate highly performant and scalable batch and stream data processing infrastructure and solutions to support day to day ML operations including training, serving, evaluation and experimental systems.
 * Design and develop Moveworks' foundational data models, data warehouse, real-time and offline processing pipelines using AWS EMR Spark, Apache Kafka, AWS Athena, Snowflake, Airflow, Apache HUDI, etc.
 * Closely work with machine learning teams and data science teams to understand their data needs, influence data team's roadmap, and lead as well as execute on various projects.
 * Build data lake and implement data cataloging platform for easy data discovery and availability
 * Architect and implement the data anonymization and data access control frameworks that support policy based masking and access to data for different use cases
 * Build out platform and data services/APIs to make data available to various different stakeholders and for customer facing data products