Senior Data Engineer - ERP Data Harmonization & Enterprise Data PlatformTessera Labs • United States
Senior Data Engineer - ERP Data Harmonization & Enterprise Data Platform
Tessera Labs
- United States
- United States
Über
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.
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: 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 .
Sprachkenntnisse
- English
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