Business Intelligence Architect

The role

We are looking for a Business Intelligence Architect to lead the evaluation, selection and enablement of modern business-intelligence tooling on enterprise data-platform programmes.

You will own the BI layer of these engagements end to end: running structured, evidence-based tool evaluations (for example Looker versus Qlik), defining the reporting and semantic standards that sit on top of a governed cloud lakehouse, enabling business power users to build their own reports, and establishing the steady-state operating model that keeps reporting trustworthy as it scales.

This is a hands-on, client-facing role for someone who is equally comfortable modelling a semantic layer, facilitating a decision workshop with senior stakeholders, and writing the recommendation that a steering committee signs off.

What you'll do

• Run BI tool evaluations. Design and lead structured comparisons of enterprise BI platforms (e.g. Looker, Qlik, Power BI) on real data and real user scenarios, with power users from several business departments. Assess each tool on speed-to-answer, change-request turnaround, governance fit, respect for sensitive-data controls, existing skills and total cost — and produce a clear, defensible recommendation for decision-makers.
• Define reporting and pack standards. Establish the semantic-layer and report/"pack" conventions on top of curated and enterprise datasets in a cloud data warehouse, so that reporting reads governed, agreed metric definitions rather than each team rebuilding its own.
• Enable self-service. Build the enablement kit — starter models, templates, reusable packs, guidelines and training — that lets domain power users answer their own questions without going back to IT for every change.
• Stand up the operating model. Define the steady-state reporting operating model: roles and responsibilities, the change-request and release flow, report lifecycle (create, certify, retire), and how BI connects to the platform's governance.
• Protect trust and compliance. Ensure reporting honours governed KPI definitions and enforces data-protection controls (column-level security / policy tags on sensitive data).
• Partner across the programme. Work closely with data engineers, data product owners, data governance stewards and business stakeholders; translate business questions into governed, performant BI.
• Support migration from legacy BI. Where reporting is moving off legacy platforms, help walk existing reports with their consumers and run replacements in parallel until users are confident.

Must-have

• 5+ years in business intelligence / analytics, including senior or lead-level delivery.
• Deep hands-on expertise with at least one enterprise BI platform (Looker/LookML, Qlik, Power BI or Tableau) — ideally comparative experience across two or more.
• Strong SQL and experience working on a cloud data warehouse (BigQuery preferred; Snowflake, Redshift or similar also relevant).
• Semantic / metrics modelling and a track record of enabling business self-service BI.
• Awareness of data governance in a BI context: governed KPI definitions, metric ownership, cataloguing, and access / PII controls.
• Excellent stakeholder management - able to run workshops, align competing views, and produce decision-grade recommendations for senior audiences.
• Fluent English and German, written and spoken.

Nice-to-have

• Experience selecting or migrating BI tooling, especially off legacy platforms (e.g. SAP BusinessObjects, MicroStrategy, Cognos).
• Familiarity with the modern data stack: dbt, orchestration (e.g. Airflow), and data cataloguing / governance tooling (e.g. Dataplex, Collibra).
• Google Cloud and/or Looker certifications.
• Consulting or client-facing delivery background.
• Exposure to large enterprise or retail data estates.
• Interest in conversational / AI-assisted analytics on governed data.
• Openness to growing into adjacent roles over time (e.g. data engineering, solution architecture) as your interests and the business evolve.

What we offer

• High-impact, senior role shaping the BI capability on large enterprise data-platform programmes.
• A remote-first, flexible working culture with a collaborative, expert team.
• Work on a modern Google Cloud data stack alongside strong data engineers and architects.
• Continuous learning, certification support, and room to grow into BI architecture or practice leadership.

About Aliz

Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe.

We are a proud Google Cloud Partner with specializations in Generative AI, Infrastructure, Data Analytics, Cloud Migration, and Machine Learning - we deliver solutions, off the shelf, or custom-built on GCP using an agile, holistic approach. Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world.

Life has been pretty exciting at Aliz recently (here's proof). Since winning Google Cloud’s Breakthrough Partner of the Year in APAC, we’ve continued to grow our team and expertise and were more recently recognized with the Partner of the Year Award in the Alps and the Google Cloud Generative AI Specialization. We have over 100 people working from our offices in Europe or Asia, and we're still counting!

You couldn’t pick a better time to join this world-class team of GCP experts.