Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

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