SAP Technical Lead

Databricks
San Francisco, Mountain View
Workplace: OnsiteFull timeUSD 198,200 - 272,600 annuallyFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Leadership","Mentorship","Architectural tradeoff judgment","Stakeholder communication","Governance rigor"]

Own the technical architecture and delivery of an SAP S/4HANA clean-core landscape, including extensions and integration with Databricks Data Intelligence. Lead extensibility strategy on SAP BTP using ABAP Cloud/RAP and front-end capabilities, and design secure, event-driven integration via SAP Integration Suite, APIs, OData, and CDC into the Lakehouse. Set engineering standards (CI/CD, testing, transport pipelines), ensure non-functionals, and mentor architects and developers across the SAP ecosystem.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
3 days ago

SAP Technical Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Own the technical architecture and delivery of an SAP S/4HANA clean-core landscape, including extensions and integration with Databricks Data Intelligence. Lead extensibility strategy on SAP BTP using ABAP Cloud/RAP and front-end capabilities, and design secure, event-driven integration via SAP Integration Suite, APIs, OData, and CDC into the Lakehouse. Set engineering standards (CI/CD, testing, transport pipelines), ensure non-functionals, and mentor architects and developers across the SAP ecosystem.
Location: San Francisco, Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Define and own end-to-end technical architecture for the S/4HANA landscape (including greenfield, brownfield, or selective data transition) aligned to clean-core principles.
  • •Set and govern SAP extensibility strategy, using Databricks-native applications to meet requirements beyond core SAP capabilities.
  • •Architect secure, resilient integration between SAP and non-SAP systems using SAP Integration Suite, event-driven patterns, APIs, OData v4, and CDC into the Lakehouse with clear contracts and observability.
  • •Unify SAP data in the Lakehouse by partnering on ingestion, CDC, semantic/master-data modeling, lineage, and governance patterns.
  • •Establish engineering standards (CI/CD, automated testing, transport/deployment pipelines), mentor developers and architects, and ensure performance, scalability, security, resilience, and cost.

Pay and Benefits

Salary: USD 198,200 - 272,600 annually

Key Requirements

  • •10+ years in SAP technical roles, including 3+ years as a technical lead or architect, and delivered at least one full S/4HANA program (greenfield or conversion).
  • •Deep, hands-on clean-core architecture experience, including custom-code assessment/remediation and governance for upgrade-ready cores.
  • •Advanced experience with SAP BTP plus ABAP Cloud, ABAP RAP, CDS, and CAP, with Fiori/SAPUI5 for front-end capabilities.
  • •Hands-on or strong technical command of agentic AI/automation concepts such as LLM orchestration, RAG, and evaluation in controlled ERP processes.
  • •Advanced integration experience across SAP and non-SAP landscapes using SAP Integration Suite, APIs/event-driven patterns, and REST/OData.
Experience:10+ yearsERPS/4HANA
Skills:LeadershipMentorshipArchitectural tradeoff judgmentStakeholder communicationGovernance rigor
Certifications:SAP certification (SAP BTP)SAP certification (S/4HANA)
Languages:English
Tech Stack:SAPSAP S/4HANASAP BTPABAP CloudABAP RESTful Application Programming Model (RAP)CDSCAPFioriSAPUI5Clean-coreSAP Integration SuiteEvent-driven architectureAPIsOData v4RESTChange-data feedsCDCLakehouseDatabricks Data Intelligence PlatformCI/CD

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn