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NEXTMOVEFDE careers · United States
Tessera Labs

Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

AI summary of the role

Senior Data Engineer to design and build scalable data solutions harmonizing enterprise data across multiple ERP ecosystems (Sage, Baan/Infor LN, Oracle, NetSuite).

What you’ll do

  • Design and develop scalable ETL/ELT pipelines to ingest and transform data from Sage ERP, Baan/Infor LN, Oracle ERP, NetSuite, and legacy systems using SQL and Python.
  • Design and maintain data harmonization frameworks that standardize enterprise datasets across systems, defining cross-system mapping rules for customers, vendors, materials, chart of accounts, and financial transactions.
  • Develop canonical enterprise data models that normalize ERP data across heterogeneous systems, supporting relational, dimensional, and semantic layers.
  • Work with ERP functional teams and Functional Data Experts to translate business rules into SQL transformation logic, Python pipelines, and validation frameworks.

What you’ll bring

  • 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development.
  • Experience working with enterprise ERP systems such as Sage ERP, Baan/Infor LN, Oracle ERP/Oracle Fusion, or NetSuite.
  • Advanced SQL and strong Python for data engineering workflows and pipeline development.
  • Experience building ETL/ELT pipelines and processing large-scale enterprise datasets.

Technologies

SQL · Python · ETL · ELT · Sage ERP · Infor LN · Oracle ERP · Oracle Fusion · NetSuite · data modeling

About Tessera Labs

Builds a governed multi-agent AI platform that automates ERP and adjacent enterprise-system modernization for large enterprises across SAP, Oracle, Salesforce, and Workday.

Seed

Source and classification

Internal deployment & tooling · Evidence for this classification:

Location: San Jose, CA or New York City Remote: Considered; travel required About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI. Role Summary We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP, Baan / Infor LN, Oracle ERP, SaaS ERP platforms
More from the job description

Location: San Jose, CA or New York City Remote: Considered; travel required About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI. Role Summary We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP, Baan / Infor LN, Oracle ERP, SaaS ERP platforms (such as NetSuite), and other enterprise systems into unified data models. The engineer will collaborate closely with ERP functional teams, Functional Data Experts (FDEs), and product engineers to translate complex business logic into robust data transformation pipelines and canonical enterprise data models. This role requires strong experience in SQL, Python, enterprise data modeling, and ERP data structures, combined with the ability to solve complex cross-system data inconsistencies and harmo [... source excerpt omitted ...] ndardize enterprise master and transactional data Support ERP modernization and migration initiatives Provide the data backbone for enterprise analytics, AI, and automation Key Responsibilities Build ERP Data Integration Pipelines Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including: Sage ERP (e.g., Sage X3, Sage Intacct, Sage 300) Baan / Infor LN Oracle ERP / Oracle Fusion SaaS ERP platforms such as NetSuite Legacy ERP and adjacent enterprise systems Implement transformation pipelines using SQL and Python. Implement Data Harmonization Logic Design and maintain data harmonization frameworks that standardize enterpris [... source excerpt omitted ...] eterogeneous systems. Implement logical and physical models supporting: Relational data platforms Dimensional analytics models Enterprise semantic layers Translate Functional Requirements into Data Logic Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations. Convert functional requirements into: SQL transformation logic Python-based processing pipelines Validation and reconciliation frameworks Improve Data Quality and Governance Implement data validation, reconciliation, and monitoring frameworks. Identify and resolve enterprise data issues such as: Duplicate master data Inconsistent definit

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