Note: The job is a remote job and is open to candidates in USA. Octave provides mission-critical software that helps organizations make informed decisions across the asset lifecycle. The Principal Data Engineer will build and operate data integration pipelines, database mirroring, change-data-capture infrastructure, and staging systems that deliver reliable data to the Microsoft Fabric lakehouse. The role also focuses on pipeline observability, data quality, governance, and collaboration on ontological transformation and knowledge graph requirements.
Responsibilities
- Design, build, and operate data integration pipelines connecting Hexagon source products (Sequence/EcoSys, Loop/Smart Materials, Forte 3D, Attune/EAM) to the Fabric lakehouse
- Implement and maintain database mirroring configurations for SQL Server and Oracle source systems, ensuring near-real-time replication with schema change detection
- Configure and operate Databridge Pro (DBPro) as a middleware integration layer where direct mirroring is not viable - API adapters, event streams, and scheduled extracts
- Enforce the staging discipline: land data in its original form in the lakehouse Bronze layer before any transformation, minimizing logic in extractors and enabling replay
- Build and maintain the change-data-capture (CDC) infrastructure to track record-level changes over time - a prerequisite for temporal queries and the Delivery Genome
- Own pipeline observability: monitoring, alerting, lineage tracking, and data quality checks at ingestion time
- Collaborate with the Graph Engineer on schema understanding to ensure ingested data maps cleanly to ontological transformation requirements
- Work with the Governance function to implement data classification, access controls, and audit-ready lineage at the pipeline level
- Contribute to the no-code pipeline capability within Platform Studio's data engineering tool, informing what connectors and patterns should be productized
Skills
- 7+ years in data engineering, with hands-on production experience building and operating ETL/ELT pipelines at scale
- Strong proficiency with Microsoft Fabric or Azure Synapse Analytics - Delta Lake, lakehouse architecture, and Spark-based transformation
- Experience with database mirroring or CDC for SQL Server (e.g. Fabric Database Mirroring, Debezium, SQL Server replication) and Oracle
- Hands-on experience with REST API integration and OData/OpenAPI-based data extraction
- Solid understanding of medallion/lakehouse architecture patterns (Bronze/Silver/Gold or equivalent staging discipline)
- Experience with pipeline orchestration tools (Azure Data Factory, Fabric Data Workflows, Airflow, or comparable)
- Proficiency in Python and/or PySpark for transformation logic and notebook-based ETL
- Strong data quality mindset - schema validation, null handling, deduplication, and monitoring at ingestion
- Familiarity with enterprise authentication patterns (OAuth2 client credentials, service principals, managed identities)
- Experience with Databridge Pro or comparable industrial middleware integration products
- Background in capital projects, EPC, or industrial enterprise software data models
- Exposure to knowledge graph construction pipelines downstream of lakehouse staging
Benefits
- A supportive environment providing you with the resources you need to support your ambitions, no matter who you are or where you are in the world.
Company Overview
Company H1B Sponsorship