360dialog GmbH
Information Technology and Services
SeniorDataArchitect/AnalyticsEngineer
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“Senior Data Architect/Analytics Engineer at 360dialog GmbH. Skills: Data Architecture, Analytics Engineering, Data Modeling, SQL. Translate executive questions. build self-serve data products”
What You'll Achieve.
drive revenue; fast, self-serve data products; trustworthy data products
Industry & Context.
whiteboard past design; explain grain choices; defend trade-offs; concrete proposal; before/after reasoning; concrete examples of accuracy incidents
What They're Looking For.
Must Have
Senior Data Architect, Senior Analytics Engineer, Databricks, BigQuery, PostgreSQL, MongoDB, semantic layer design, SQL, data model, data accuracy
Nice to Have
Custom AI agents, LLM-based agents, text-to-SQL, tool-calling frameworks, guardrails against hallucinated metrics, evals for answer quality
What You'll Do.
Translate executive questions
build self-serve data products
design semantic layer
build schema contracts
How You'll Work.
Team & Collaboration
Collaborate with brightest minds
Communication Scope
interpersonal and communication skills in English
Process & Methodology
Taking responsibility for projects
Full Job Description
**About Us** 360Dialog is the leading Whatsapp platform for Independent Software Providers. We are hosting the Whatsapp channels for more than 800 software solutions and 45000+ B2B clients. As a bootstrapped and profitable company with no investors in the cap table, we are free to do what makes sense from the business, tech and product perspective. Our mission is to enable businesses to not only adapt messaging channels but also use them for performance use cases and drive revenue through them. We love to use state of the art engineering methods all over the place, in software development, tech operations but you will find them also in non-tech areas through the whole organization. We are looking for like-minded people to join our organization and contribute with their ideas, skills and expertise in exchange for a good payment. **Requirements** * Senior Data Architect or Senior Analytics Engineer. Advanced expertise in using data platforms like Databricks and BigQuery, as well as using linked PostgreSQL servers and MongoDB. * Business fluency. Can translate executive questions — MRR, churn cohorts, customer funnels — into trustworthy, fast, self-serve data products. An MBA or 2+ years in a BizOps-adjacent role, on top of an engineering background, is a big plus; we need someone who understands why a metric matters, not just how to compute it. * At least one semantic layer designed from scratch in production — not inherited and patched. Must be able to whiteboard their past design, explain grain choices, and defend trade-offs between fact/dim stars and wide denormalized marts. In the interview, we may share an example scenario and expect a concrete proposal with before/after reasoning. * Query-optimization perfectionist. Knows when to rewrite SQL versus reshape the data model, and treats any BI report over 25 seconds as a personal affront. * Data accuracy is a non-negotiable foundation. Treats data accuracy as the bedrock of the architecture, not a QA afterthought. B
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