Senior Data Engineer - ERP Data Harmonization & Enterprise Data Platform

Location: San Jose, CA or New York City Remote: Considered; travel required

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.

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 harmonization challenges.

Enterprise organizations often operate across multiple ERP systems and business platforms, each with different schemas, definitions, and data semantics. Without proper harmonization, data becomes fragmented and unreliable for operations, analytics, and decision-making.

This role is critical in building the data foundation that enables organizations to operate with consistent, trusted enterprise data across systems.

- Enable cross-system interoperability between ERP platforms

- Provide the data backbone for enterprise analytics, AI, and automation

Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including:

Design and maintain data harmonization frameworks that standardize enterprise datasets across systems.

Define and implement cross-system mapping rules for enterprise data domains including:

Develop canonical enterprise data models that normalize ERP data across heterogeneous systems.

Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations.

Implement data validation, reconciliation, and monitoring frameworks.

- 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development

- Experience supporting ERP transformation, migration, or multi-system integration initiatives

- Strong Python for data engineering workflows and pipeline development

- Familiarity with modern data architectures and distributed processing

Systems Thinking Ability to understand complex enterprise systems and business processes, and design data solutions that work across multiple platforms.

Translating Business Logic into Technical Solutions Capability to work with functional teams and convert business rules into scalable data transformation logic.

Data Problem Solving Strong analytical skills to diagnose and resolve enterprise data challenges.

Collaboration Comfortable working with cross-functional teams including engineers, ERP functional consultants, and business stakeholders.

Ownership and Execution Ability to take ownership of complex data problems and deliver production-grade solutions that scale across enterprise environments.