Senior Solutions Architect

The Role:

Every Celonis outcome starts with data. As a Solutions Architect, you make sure our customers’ data gets into the Celonis Platform reliably, securely, and at scale, and that insights and actions flow back out into the systems and AI tools where work actually happens.

You’ll join our customer project teams as one of the first technical faces of Celonis. You’ll work hands-on across the full integration toolkit: deploying our out-of-the-box extractors, building custom API connectors in a low-code environment, writing code for push-based ingestion, connecting Celonis to customer lakehouses and LLMs, and configuring writebacks, SSO, and user provisioning. Part implementation consultant, part integration engineer, part trusted technical advisor, this role is ideal for someone early in their career who wants broad exposure to enterprise architecture and modern data and AI integration patterns.

The work you’ll do:

Data integration and ingestion:

• Implement standard extractors. Install, configure, and troubleshoot Celonis out-of-the-box extractors in customer landscapes, including SAP (ECC and S/4HANA), JDBC-based databases, and cloud applications such as Salesforce, ServiceNow, and others.
• Build custom API connectors. Design and build custom connectors with Celonis Extractor Builder for source systems that expose data through REST or SOAP APIs, handling authentication (OAuth 2.0, API keys, certificates), pagination, rate limits, and incremental (delta) loads.
• Enable push-based ingestion. Help customers design and develop scripts and pipelines (typically in Python) that push data to Celonis via the Data Ingestion API, and advise on file formats, scheduling, and error handling.
• Connect to the lakehouse. Set up zero-copy data sharing between Celonis and customer lakehouses such as Databricks and Microsoft Fabric, including Delta Sharing configuration, access controls, and data freshness.
• Unblock infrastructure. Work through on-premise agent deployments, networking, proxies, firewall and IP allowlisting, certificates, and service-account permissions with customer IT and infrastructure teams.
• Keep pipelines healthy. Tune extraction schedules and delta strategies, monitor pipeline health, and resolve data load failures so customers get timely, trustworthy data.

Actions, AI, and platform connectivity:

• Close the loop with writebacks. Configure Action Flows and other integration patterns that write back to customer systems (for example, updating records in SAP, Salesforce, or ticketing tools) so Celonis insights turn into action.
• Connect Celonis to AI. Help customers connect Celonis to their LLMs and AI agents through MCP (Model Context Protocol), covering authentication, permissions, and governance.

Identity, security, and governance:

• Own authentication and provisioning. Configure SSO (SAML, OIDC) with identity providers such as Microsoft Entra ID, Okta, and Ping, and set up SCIM-based user and group provisioning.
• Be the security translator. Support customer security, privacy, and compliance reviews, explain the Celonis architecture and data flows, and advise on topics like data minimization, pseudonymization, and least-privilege access.

Customer and team impact:

• Scope with confidence. Run technical discovery, document integration architectures and requirements, and estimate effort so projects start on solid footing.
• Partner across teams. Serve as a technical point of contact for customer IT, data, and security stakeholders, and work closely with Value Engineers, Data Engineers, Project Managers, Partners, Support, and Product & Engineering.
• Be the voice of the field. Escalate product gaps and bugs with clear, reproducible detail, and share field feedback that shapes our integration roadmap.
• Build reusable assets. Contribute reusable connector templates, scripts, runbooks, and best-practice documentation that scale across customers and partners.

The qualifications you need:

• 5+ years of experience in a technical, customer-facing role such as solutions engineering, integration or implementation consulting, data engineering, or technical consulting.
• Hands-on experience with REST APIs and common authentication patterns (OAuth 2.0, API keys, tokens); comfort using tools like Postman to explore and test APIs.
• Solid programming skills in Python (or a similar language) and strong SQL skills.
• Working knowledge of data pipelines and ETL/ELT concepts, including incremental loads, scheduling, and handling large data volumes.
• Familiarity with identity and access management concepts such as SSO (SAML/OIDC) and SCIM provisioning.
• A basic understanding of networking and security fundamentals (TLS and certificates, proxies, firewalls, VPNs).
• The ability to explain technical topics clearly to both engineers and business stakeholders, and to manage your own workstreams across multiple customer projects.
• Curiosity, ownership, and a bias toward solving problems hands-on.
• A Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience with SAP data structures, tables, or extraction (for example, RFC, ODP, or S/4HANA).
• Experience with at least one major cloud platform (AWS, Azure, GCP) and/or lakehouse platforms such as Databricks, Microsoft Fabric, or Snowflake.
• Exposure to iPaaS or low-code integration tools (for example, MuleSoft, Boomi, Workato, or Power Automate).
• Familiarity with LLMs, AI agents, or MCP.
• Experience with Docker or Linux server administration.
• Relevant certifications (for example, Celonis, cloud, or SAP certifications).