Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

Tessera Labs; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

A leading AI solutions provider is seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP systems. This role focuses on integrating and standardizing data from systems like SAP and Oracle into unified models. The ideal candidate has 5–8 years of relevant experience, strong skills in SQL and Python, and the ability to solve complex data challenges. Competitive compensation range of $180K - $250K offered alongside opportunities for professional growth.

Qualifications

• 5–8+ years of experience in Data Engineering or Data Integration.
• Experience with ERP systems like SAP, Oracle, and NetSuite.
• Strong analytical skills to solve data challenges.

Responsibilities

• Design and develop scalable ETL/ELT pipelines for data integration.
• Implement data harmonization across multiple ERP systems.
• Translate business rules into data transformation logic.

Skills

SQL

Python

Data modeling

Enterprise data structures

Data integration

Job description

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.

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 SAP (ECC/S4HANA), 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.

Why This Role Matters

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.

The Data Engineer in this role will:

• Enable cross-system interoperability between ERP platforms
• Standardize 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:
• SAP ECC / S4HANA
• 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 enterprise datasets across systems.
• Define and implement cross-system mapping rules for enterprise data domains including:
• Customers / Business Partners
• Vendors / Suppliers
• Materials / Products
• Chart of Accounts
• Cost Centers and organizational structures
• Financial and operational transactions.
  

Design Enterprise Data Models

• Develop canonical enterprise data models that normalize ERP data across heterogeneous 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 definitions across ERP systems
• incomplete or legacy datasets
• configuration-driven inconsistencies.
  

Professional Experience

Required Skills & Experience

• 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
• Experience working with enterprise ERP systems, such as:
• SAP (ECC or S/4HANA)
• Oracle ERP / Oracle Fusion
• NetSuite or other SaaS ERPs
• Experience supporting ERP transformation, migration, or multi-system integration initiatives.
  
  

Technical Skills

Programming

• Advanced SQL
• Strong Python for data engineering workflows and pipeline development
  
  

Data Engineering

• Experience building ETL/ELT pipelines
• Experience processing large-scale enterprise datasets
• Familiarity with modern data architectures and distributed processing
  
  

Data Modeling

• Strong understanding of:
• relational data models
• dimensional models
• canonical enterprise data models
  

ERP Data Knowledge

Understanding of ERP business domains including:

Finance

• General Ledger
• Accounts Payable / Receivable
• Financial transactions
  
  

Supply Chain

• Materials and product data
• Procurement and vendor management
• Inventory and logistics
  
  

Enterprise Master Data

• Customers
• Vendors
• Products
• Organizational structures
  
  

Behavioral & Problem-Solving Expectations

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.
  
  

Compensation Range: $180K - $250K