Sr. Data Engineer, Data Platform
Mirion Technologies · United States · 1 wk ago
RemoteRemoteInformation TechnologyFull-time
Responsibilities
- Architect and design enterprise-scale data platforms and pipeline solutions using Spark, Azure Databricks, and related technologies.
- Build and optimize data models and dimensional schemas for complex analytics and AI/ML use-cases.
- Lead technical design reviews and mentor junior data engineers on best practices and architectural patterns.
- Establish data quality, governance, and metadata management frameworks across the platform.
- Collaborate with stakeholders to define data requirements and translate them into technical solutions.
- Drive optimization initiatives for data pipeline performance, cost, and reliability.
- Participate in hiring and team building for the data engineering function.
- Contribute to architectural decisions and long-term platform strategy.
- Troubleshoot complex data pipeline failures and implement robust monitoring and alerting solutions.
Requirements
- 5+ years experience in data engineering, analytics engineering, or related field.
- Expert-level SQL and experience with modern data warehouses (Snowflake, BigQuery, Redshift, etc.).
- Deep experience designing and maintaining large-scale data pipelines using Spark, Airflow, or similar orchestration tools.
- Strong proficiency in Python or Scala for complex data processing.
- Advanced understanding of data modeling, dimensional design, data warehousing concepts.
- Experience with cloud platforms (AWS, GCP, or Azure) at scale.
- Proven ability to mentor and guide junior engineers.
Qualifications
- Experience architecting data platforms from the ground up.
- Experience with Databricks, Delta Lake, and lakehouse architectures.
- Expertise in real-time data streaming and event-driven architectures (Kafka, Kinesis).
- Knowledge of data governance, data lineage, and metadata management systems.
- Experience with ML infrastructure and feature stores.
- Background in regulatory-heavy industries or complex compliance requirements.
- Experience with infrastructure-as-code and DataOps practices.