D

Databricks

Builds cloud software for data analysis and AI

SAP Functional SME

Full-Time
No salary listed
Senior
Bengaluru, Karnataka, India
In Person
IT OperationsEnterprise Applications

About the job

Requirements
  • At least 6 years of SAP functional consulting experience, including hands-on delivery across at least one full S/4HANA lifecycle.
  • Deep expertise in at least one finance domain: Record-to-Report, Source-to-Pay, or Order-to-Cash, with working fluency in adjacent areas and master-data governance.
  • Demonstrated experience leading process discovery, process mapping, and process mining using SAP Process Intelligence or equivalent business process intelligence tools, and translating mining outputs into solution requirements.
  • Strong preference for standard, clean-core S/4HANA design, with sound judgment about when a requirement warrants an extension rather than a process change.
  • Practical experience applying Databricks AI and agentic capabilities to enterprise processes, with judgment on automation and decision support while maintaining governance, controls, auditability, and human oversight.
  • Solid understanding of integration patterns including APIs, OData, IDoc, SAP Integration Suite, and SAP BTP, together with the data requirements that feed process mining and AI models.
  • Working knowledge of SAP authorizations, segregation of duties, Sarbanes-Oxley requirements, and audit requirements.
  • Ability to facilitate workshops, manage stakeholders, lead change management, present executive-level return on investment, and translate technical capabilities into measurable business value.
  • A pragmatic, outcome-driven approach to reducing process waste and risk, with comfort leading through ambiguity across complex business and IT landscapes.
Responsibilities
  • Lead end-to-end process discovery and AS-IS/TO-BE design for Record-to-Report, Source-to-Pay, and Order-to-Cash processes.
  • Define S/4HANA solution scope and design toward standard, clean-core capabilities wherever possible.
  • Own functional configuration, business rules, and master-data strategy for the assigned domain.
  • Partner with developers on extensions, APIs, and orchestration when standard functionality is insufficient.
  • Use process mining and business process intelligence to identify root causes, quantify opportunities, prioritize improvements, and translate findings into S/4HANA requirements.
  • Define requirements for AI-assisted and agentic process improvements, including task automation, intelligent recommendations, anomaly detection, and generative assistants.
  • Determine where AI-driven recommendations, human-in-the-loop controls, or deterministic rules are appropriate in controlled and auditable processes.
  • Partner with Finance process owners, architects, developers, and engineering pods to embed AI safely and define data flows among S/4HANA, process intelligence tools, SAP BTP, and Databricks AI.
  • Facilitate stakeholder workshops, validate business value, define acceptance criteria, and lead user acceptance testing for functional and AI features.
  • Define KPIs and track return on investment for process improvements, including cycle time, touchless transaction rate, exception reduction, manual-touch reduction, and adoption.
  • Build business cases for prioritized automation and AI initiatives.
  • Coach and upskill process owners and functional teams on process intelligence, best practices, and AI adoption.
  • Drive readiness and change management for delivered solutions.
Desired Qualifications
  • SAP S/4HANA Associate or Professional certification for a relevant module and experience with the SAP Activate methodology.
  • Certification or training in SAP Process Intelligence, or experience with Celonis or other process mining vendors.
  • Hands-on experience delivering at least one AI-assisted process improvement in production.
  • Familiarity with the SAP AI and extension stack, including SAP BTP, AI Core, and Joule, and a perspective on build-versus-adopt tradeoffs against a Databricks-native approach.
  • Experience working with data teams to make ERP data usable for analytics and AI on modern data platforms such as Databricks.
  • Prior experience in a high-growth technology company where ERP had to scale quickly.

About the company

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$32.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify's Take

What believers are saying

  • Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
  • Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
  • Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.

What critics are saying

  • Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
  • A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
  • Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.

What makes Databricks unique

  • Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
  • Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
  • Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.

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Benefits

  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Business Wire
Oct 19th, 2026
Factory partners with Databricks to bring autonomous coding agents to enterprises

Factory, a San Francisco startup that builds autonomous software engineering tools, has partnered with data and AI company Databricks. Enterprises can now run Factory's software agents, called Droids, with data and models they already govern in Databricks. Factory is available on Databricks Marketplace, and eligible customers can use existing Databricks commitments to buy it. Droids now draw on open weight and proprietary models from Databricks Unity Gateway, and Factory can run on a company's existing infrastructure. "Factory agents, powered by models from Unity Gateway and governed through Unity Catalog, give customers a faster path from code to production," said Ali Ghodsi, chief executive officer of Databricks. Factory is now a Databricks ISV partner and will build on the Databricks Data + AI Platform.

Yahoo Finance
Oct 14th, 2026
Pricefx partners with Databricks to run AI pricing directly on governed lakehouse data

Pricefx, a pricing intelligence company for B2B enterprises, has partnered with Databricks to let manufacturers and distributors manage pricing directly on data they already hold in Databricks. The company announced the move on October 14, 2026, at its Accelerate 2026 conference in Denver. The native integration aims to cut implementation time and end reliance on stale data. Pricing teams will work from current data, while IT keeps governance through Databricks' Unity Catalog. Pricefx will roll it out in three stages: a data connector, a zero-copy option that keeps data in Databricks, and pricing agents on Databricks Marketplace. The last two are coming soon. "Pricing is where that investment should pay off directly in margin," said Ronak Sheth, chief executive officer of Pricefx.

Databricks
Oct 14th, 2026
Tecton is Joining Databricks to Power Real-Time Data for Personalized AI Agents | Databricks Blog

Tecton is joining Databricks to deliver fast, reliable real-time data for AI agents.

Associated Press
Oct 8th, 2026
Tel Aviv's Seemoredata launches Databricks cost optimisation as enterprises seek to fund $2.5T AI spending

Tel Aviv-based Seemore Data has launched early access to its cost optimisation platform for Databricks, targeting enterprises seeking to fund AI initiatives. The startup's context-aware control plane now covers Databricks SQL warehouses, Lakeflow jobs, all-purpose clusters, and AI services. The launch addresses growing demand for AI funding as Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026. According to IDC, 45% of companies plan to fund AI from existing software budgets. Seemore's platform provides full cost attribution across Databricks workloads and automatically optimises SQL warehouses within customer-set parameters. The company claims its Snowflake customers achieve an average 33% bill reduction and expects comparable results for Databricks users. The service requires only metadata-only access and does not access customer data. It is available for organisations running Databricks with Unity Catalog.

GeekWire
Sep 24th, 2026
Databricks acquires Seattle startup Row Zero to embed enterprise spreadsheets in AI platform

Databricks has acquired Seattle startup Row Zero, founded in 2021 by former Amazon Web Services engineers Breck Fresen and Nick End. Row Zero built enterprise spreadsheet software designed to process millions of rows at cloud scale without performance issues. The startup raised a $10 million Series A round last year. Row Zero's standalone product will remain available whilst the team integrates its engine across Databricks' platform, which serves over 20,000 organisations, including 70% of the Fortune 500. Fresen and End previously founded Shoefitr, which Amazon acquired in 2015. San Francisco-based Databricks recently crossed a $7 billion annualized revenue run-rate and raised a $5 billion funding round in August, reaching a $190 billion valuation.