---
title: 'Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform at Tessera Labs'
canonical: 'https://feeny.ai/job/senior-data-engineer-erp-data-harmonization-enterprise-data-platform-tessera-qx0fk86ck66y'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform at Tessera Labs

- **Company:** Tessera Labs
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-05
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/tessera-labs/560c1ab4-18c7-4937-add2-87d2c3a6308d/application

**Skills:** SQL, Python, ETL/ELT, Data Modeling, ERP Systems, Sage ERP, Baan / Infor LN, Oracle ERP, NetSuite, Data Integration

> Design and build scalable data solutions to harmonize enterprise data across multiple ERP ecosystems, including Sage, Infor, Oracle, and NetSuite. The role involves developing ETL/ELT pipelines, implementing data harmonization frameworks, and translating business logic into robust data transformation pipelines.

## 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 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.

## About Tessera Labs

## Company Overview
- **One-liner**: Tessera Labs provides a multi-agent AI platform that accelerates and de-risks enterprise ERP and critical systems modernization.
- **Entity Type**: Private (Series A; $60M raised)
- **Headquarters**: San Jose, California, United States (also listed as Palo Alto, CA)
- **Founded**: 2024
- **Founders**: Kabir Nagrecha, Ph.D. (CEO) and Anirudh Sriram (CTO)

## Core Business
- **Primary industry**: Enterprise Software & AI – focused on ERP transformation and system integration.
- **Target customers**: Large enterprises running SAP, Salesforce, Workday, Oracle, and other systems of record (B2B, Enterprise).
- **Mission or purpose statement**: “Unifying the disparate pieces of the enterprise into a coherent whole” – making complex transformations faster, safer, and more cost-effective.

## Products & Services
- **Tessera Platform (Multi-Agent AI)**: An AI-native, vendor-agnostic platform that automates data harmonization, code remediation, cross-system orchestration, and governance for ERP and connected systems. It compresses modernization timelines from years to weeks and reduces costs by more than half. [tesseralabs.ai](https://www.tesseralabs.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding raised: $60M in Series A (May 2026). [cbinsights.com](https://www.cbinsights.com/company/tessera-labs)
- **Notable Investors/Partners**: Andreessen Horowitz (a16z) led the Series A, with participation from Foundation Capital, Osage University Partners, Myriad Venture Partners, and A16Z GAMES. Key strategic advisors include Abdul Razack (EVP at Aon, ex-Google Cloud) and Prakash Gupta (founding CRO of Turing). [tesseralabs.ai/about](https://www.tesseralabs.ai/about)
- **Growth Signals**: 35 employees with 4% monthly headcount growth; 38 active job postings (up 46.2% MoM); proven in $250M+ programs and regulated industries; Series A raised just one month ago (May 2026). [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai)

## Competitive Advantages
- **Vendor-agnostic platform** that works across SAP, Salesforce, Workday, and Oracle – avoiding lock-in unlike ERP vendor tools or point solutions.
- **Pre-trained on thousands of enterprise landscapes** and backed by deep expertise (founders and leadership have backgrounds at SAP, Oracle, Google, Stanford AI Lab).
- **Governance-first design**: every action is logged and traceable, built for regulated industries and audit compliance.
- **Speed vs. incumbents**: compresses timelines by ~90% compared to traditional system integrators, and costs by more than half.

## Strategic Focus
- **Current priorities**: Scaling the enterprise customer base, deepening multi-agent AI capabilities, and expanding the partner ecosystem. Hiring heavily across engineering, product, and consulting to support rapid go-to-market.
- **Direction for growth**: Continue to displace legacy system integrators and internal IT teams with an AI-first, governed approach to ERP modernization. Target large-scale SAP S/4HANA migrations, CRM/HCM harmonizations, and connected-system orchestration.

## Why Work Here
- **Culture highlights**: Described as “enterprise serious, AI forward” – a blend of deep enterprise gravity and cutting-edge AI research. Team includes PhDs, ex-Google/Microsoft/Netflix engineers, and former SAP directors.
- **Remote/hybrid/office policy**: Not explicitly stated, but headquarters in San Jose (CA) and Palo Alto, and job postings suggest a mix of on-site and remote flexibility (e.g., multiple backend engineer roles, a Technical Program Manager). Expect hybrid with a strong in-office core.
- **Notable perks or engineering culture**: Working on the frontier of enterprise AI with real-world impact on massive transformation projects. Opportunity to shape a new category of software. Leadership includes one of UC San Diego’s youngest PhDs and a YC alumnus.
- **Open technical roles**: Backend engineers, data engineers (ERP data harmonization), DevOps, product design, SAP consultants – 38 open positions as of mid-2026. [jobs.ashbyhq.com/tessera-labs](https://jobs.ashbyhq.com/tessera-labs)

## Sources
1. [tesseralabs.ai](https://www.tesseralabs.ai/)
2. [tesseralabs.ai/about](https://www.tesseralabs.ai/about)
3. [linkedin.com/company/tesseralabsai](https://www.linkedin.com/company/tesseralabsai)
4. [cbinsights.com/company/tessera-labs](https://www.cbinsights.com/company/tessera-labs)
5. [jobs.ashbyhq.com/tessera-labs](https://jobs.ashbyhq.com/tessera-labs)

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