Senior Data Engineer

Become a key player in building high‑performance data platforms that power analytics and machine learning across the organization. You’ll work closely with data scientists, product managers, and engineering teams to deliver reliable, scalable solutions. What You'll Do Design and maintain scalable batch & real‑time data pipelines. Build ETL/ELT processes for large‑scale dataset ingestion and transformation. Develop data models, schemas, and storage strategies ensuring quality and accessibility. Optimize Spark, PySpark, and SQL workloads for performance. Integrate data from multiple enterprise systems while enforcing governance. Implement monitoring, alerting, testing, and data‑quality validation across pipelines. Mentor junior engineers and drive architecture discussions. What You Need 7+ years of data engineering experience with Python, Spark/PySpark, and advanced SQL. Strong expertise in relational DBs (PostgreSQL, MySQL) and NoSQL stores (MongoDB, Cassandra, DynamoDB). Hands‑on with Apache Kafka, Flink, Iceberg, Hive, Parquet, and Airflow. Experience building data platforms on AWS (EMR, Glue, S3, Lambda, Redshift, Athena). Proficiency in CI/CD, Git version control, and infrastructure automation. Ability to lead technical initiatives, define standards, and mentor engineering teams. Good to Have Experience with dbt, Fivetran, or Airbyte for modern data ingestion. Built enterprise‑scale platforms for analytics, AI, and ML workloads. Knowledge of data lakehouse, streaming architectures, and data cataloging. The Opportunity You’ll join Autodesk’s data team where collaboration, innovation and continuous learning are core values. The role offers technical leadership and the chance to shape data architecture at a global software leader.