Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform San Francisco Office, San Francisco, California, United States, New York City Office 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,

Read the full description at jobs.ashbyhq.com. FewerJobs shows a source-linked preview and links to the original posting.