Data Architect/Analytics Engineer

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., * Real domain expert down to the roots: State-of-the-art knowledge and real experience in almost all aspects of your professional area

• Open mind to listen and learn, but also to give back knowledge to the organization
• Taking responsibility for the entire product/projects/initiatives
• Able to create a strategy or parts of it
• Scalable mindset and knowledge of how to design/build scalable solutions/processes
• Knowing the difference between real knowledge/understanding and Dunning-Kruger
• Awareness about the difference between knowledge/skills and real experience.
• Documentation discipline. Writes column-level data dictionaries, runbooks, and onboarding guides by default - so the platform stays maintainable the day they leave.

• 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. Builds reconciliation against source-of-truth systems, schema contracts, referential-integrity tests, cardinality assertions, and daily drift checks from day one. Believes a fast dashboard showing wrong numbers is worse than a slow one. In the interview, we expect concrete examples of accuracy incidents they caught (or missed and learned from) and the controls they built to prevent recurrence.

Nice to have

• Custom AI agents for non-technical users. Experience shipping LLM-based agents - text-to-SQL, semantic-layer-backed Q&A. Bonus for prior work with tool-calling frameworks, guardrails against hallucinated metrics, and evals for answer quality., * Communication: Strong interpersonal and communication skills in English.

What we offer:

Here's an opportunity to shape a whole new industry in Business Messaging. You'll be joining a team of experienced entrepreneurs who run a bootstrapped and profitable global company.

• Join a dynamic, innovative team where you'll collaborate with some of the brightest minds in tech.
• Enjoy daily opportunities to learn, grow, and push the boundaries of what's possible.
• Work from anywhere in the world with full remote flexibility.
• Receive a competitive remuneration package that reflects your skills, experience and achievements.

NB: This is a contract-based position. We are a fully remote company and welcome applicants from anywhere in the world-please disregard the listed countries, which are included only due to system requirements.

Budget

The budget range for this role is €4500 -€7500/Month, depending on the candidate's experience level and fit with the position requirements.

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.