Senior Lead Software Product Data Engineer, GSS Software Engineering
USD 110K-146K (estimate) Senior-level Full Time
Tasks
- Advocate context curation as shared infrastructure
- Audit business unit data implementations
- Build data interfaces pipelines and semantic layers
- Define unified product data model
- Develop data lake and digital twin architecture
- Document application data generation and usage
- Enable product engineering teams with shared platform
- Enforce data standards and CI gate
- Evolve data modeling standards for AI tools
- Expose product data for agentic AI consumption
- Maintain data lineage and quality governance
- Maintain enterprise data catalog
- Onboard product data to shared schema
- Partner with CIAM to unify access scoping
- Review data layer for EU Cyber Resilience Act compliance
- Translate logical data models into physical schemas
Perks/Benefits
Skills/Tech-stack
APIs | Access Management | Amazon S3 | Apache Airflow | Apache Kafka | Azure Data | Azure Data Lake | Azure Data Lake Storage | BigQuery | CIAM | Cloud Storage | Cyber Resilience Act | DAMA-DMBOK | DB Convergence | DBT | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Interfaces | Data Lake Storage | Data Lakehouse | Data Lineage | Data Management | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | Database Schemas | Databricks | Device Data Modeling | Device data | Digital Twin | ELT | ETL | EU Cyber Resilience Act | Enterprise Architecture | Event Streaming | Google Cloud | Google Cloud Storage | Identity & Access | Identity & Access Management | IoT telemetry | Lakehouse | Master Data | Master Data Management | Metadata Management | Object storage | Orchestration | Python | Resilience Act | SQL | Semantic layer | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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