- full-time
- service region: ucc

company description

we are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

job description

key responsibilities

- define and maintain the overall technical architecture for the km data platform, spanning ingestion, storage (databricks/unity catalog), transformation, security, and consumption layers.
- translate multi-year program roadmaps into phased architectural plans, balancing near-term pilot needs against long-term scalability.
- set architectural standards and guardrails for data modeling, pipeline design, and catalog registration, in partnership with the senior data modeler and data engineers.
- evaluate and recommend platform components, tools, and integration patterns (e.g., unity catalog vs. alternative catalogs, orchestration tools, vector search/embedding infrastructure).
- lead technical design reviews and ensure alignment across data engineering, security/privacy, and downstream product teams (knowledge products, research products).
- own non-functional requirements: scalability, performance, security, cost, and reliability of the platform architecture.
- serve as the primary technical point of contact for architecture workshops and planning sessions (e.g., multi-day cross-functional architecture planning events).
- assess technical risk and dependencies across workstreams and flag issues to the engineering manager and program leadership.




- stay current on databricks platform capabilities and enterprise ai/knowledge management architecture trends, bringing recommendations back to the team.

required qualifications

- 8+ years of experience in data/solution architecture roles, with significant hands-on or architectural experience in databricks/lakehouse environments.
- deep understanding of unity catalog governance, data product design, and security classification models.
- demonstrated experience architecting platforms that handle both structured and unstructured content at scale.
- experience architecting for ai/llm-driven consumption patterns (retrieval-augmented generation, vector search, agent-based data access) is highly valued.
- strong track record of translating business/program roadmaps into technical architecture and staged delivery plans.
- excellent stakeholder management skills — able to work across engineering, product, legal/privacy, and executive audiences.
- experience leading architecture reviews and setting technical standards for a growing engineering team.

preferred qualifications

- experience in professional services, consulting, or other knowledge-intensive industries.
- familiarity with enterprise search/knowledge platforms (glean, sharepoint, servicenow) and their integration patterns.
- experience navigating legal/risk/privacy review processes for data platforms.
- prior experience standing up a data platform team from a nascent or pilot stage to a scaled production capability. Success metrics (first 6–12 months)
- documented target-state architecture for the km data platform, validated with key stakeholders (engineering manager, data modeler, product owners).
- architectural standards adopted across data modeling and engineering workstreams.
- clear, staged technical roadmap aligned to the broader program timeline (e.g., through 2027).

qualifications

must have skills: azure data factory, data modeling (strong), databricks

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📌 Associate distinguished engineer - solution architect (México)
🏢 Nagarro
📍 México