Knowledge and Data Architect

Location Qualifications: This role is available for hybrid work (2 days on-site) from our office in Bucharest.

About the position

Our data platform powers customer-facing embedded analytics that thousands of users rely on daily. But we're going further: Showpad is building a Revenue Intelligence engine that transforms raw signals — CRM data, email threads, call transcripts, and content engagement — into prescriptive AI guidance. You will be a foundational architect of the unified data intelligence layer that makes this engine possible.

You will participate in the design of our Medallion architecture, star schemas, and data governance frameworks — and critically, you will help define how structured and unstructured knowledge is modeled, connected, and retrieved. Your goal is to build a platform so robust and intuitive that other teams are empowered to build high-quality downstream models with speed and autonomy.

What You'll Do

• Shape how we model and connect revenue data — accounts, deals, contacts, content, and engagement signals — across both structured and semantic layers
• Design and evolve the ontology that defines how entities relate, enabling relationship-aware reasoning beyond what traditional joins can offer
• Build and maintain a Knowledge Graph that supports multi-hop inference and entity disambiguation across our Revenue Intelligence engine
• Own our retrieval architecture — choose the right approach for each use case, whether that's RAG, vector similarity, graph traversal, or structured search
• Define how we ground LLM outputs in proprietary data, ensuring AI features are accurate, explainable, and production-ready
• Contribute to our Medallion architecture, star schemas, and data catalog, keeping the foundation solid as we scale
• Ensure our embedded analytics meet the demands of multi-tenant isolation, sub-second latency, and strict SLAs for white-labeled products
• Be a go-to resource for cross-functional teams — setting standards, reviewing models, and helping others build confidently on top of the platform
• Establish and maintain data contracts, schema governance, and lineage practices that keep data trustworthy at every layer
• Collaborate with Product and Engineering to turn complex business needs into clear, pragmatic technical roadmaps.

Our Tech Stack

Deep in the AWS ecosystem, with a growing AI/ML and semantic layer:

• Orchestration & Transformation: dbt, Glue Jobs, AWS ECS Fargate

• Storage & Catalog: S3 Data Lake (Iceberg/Hive), Glue Data Catalog, Lake Formation

• Compute & APIs: AWS Lambda (TypeScript/Python), Athena

• Analytics & BI: ClickHouse, OpenSearch, AWS QuickSight, Luzmo

• Knowledge & Retrieval: Amazon Neptune (or equivalent graph DB), vector stores (e.g., OpenSearch kNN, pgvector), RAG pipelines, ontology frameworks (RDF/OWL or property graph models)

• Infrastructure: CDK / CloudFormation.

  What We're Looking For

• You think in systems, not just solutions — you design for the problem two steps ahead, not just the one in front of you

• Strong foundation in data modeling: you know Kimball and dimensional modeling well, and you know when to bend the rules

• Comfortable working across both relational and semantic models — you understand ontology design and when a knowledge graph unlocks what a schema can't

• Hands-on experience with RAG pipelines: chunking strategies, embedding design, retrieval evaluation, and what makes them fail in production

• You've worked with large-scale, event-driven systems and know how to handle messy, unstructured inputs like transcripts, emails, and documents

• DevOps is second nature — CI/CD, monitoring, and DataOps practices are how you work, not things you bolt on later

• You can talk trade-offs clearly: a PM, an engineer, and a business stakeholder should all leave the same conversation understanding your recommendation

• You're pragmatic about tooling — you'll reach for the right retrieval strategy, not the most impressive one.

Company Highlights:

Welcome to the new era of revenue effectiveness. The merger of Showpad and Bigtincan is creating the first AI-powered platform to strengthen the entire field selling motion.
By unifying two industry-acclaimed solutions for content, readiness, engagement, and intelligence into a single operating system, we are delivering unrivaled scale and accelerated growth for our 2,000+ combined customers worldwide, including leaders in manufacturing (Dow, Dupont), healthcare (Fujifilm, Kaiser Permanente, Johnson&Johnson), CPG (Smucker's, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass).
Acclaimed by analysts and adored by customers, we're recognized as a Leader in the Forrester Wave™ Revenue Enablement Platforms, honored by Gartner as a Customers' Choice in Revenue Enablement Platforms, and, together, endorsed by nearly 3,000 5-star customer reviews on G2.
United, we're focused on powering the next generation of field selling success through a more holistic engine that creates lasting value for our customers and a new vision for our category.
Discover the revenue team outcomes we're driving together at showpad.com.

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We're building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether it's additional company-wide days off, paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.