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Senior Data Engineer - ERP Data Harmonization & Enterprise Data PlatformTessera Labs • New York, New York, United States
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Senior Data Engineer - ERP Data Harmonization & Enterprise Data Platform

Tessera Labs
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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 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:
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 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
Required Skills & Experience Professional Experience
5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
Experience working with enterprise ERP systems, such as:
Sage ERP platforms
Baan / Infor LN
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.
No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
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  • New York, New York, United States

Compétences linguistiques

  • English
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