Lead Fabric / Data Platform Consultant, Finland (multiple locations)

Tiivistelmä työpaikkailmoituksesta: You will be the senior technical lead who owns end-to-end data platform architecture, builds key components, and makes and defends platform decisions for clients. The role requires hands-on expertise in Microsoft Fabric and Azure, fluency in at least two of Databricks, dbt and Snowflake, strong Power BI, Python/PySpark and SQL skills, and experience with CI/CD, data modelling and governance. The position is highly client-facing and mentoring-focused, involving workshops, solution scoping and setting engineering standards, and it requires fluent Finnish and working English with hybrid work (≥50% in office) across Finnish offices. The salary range is 6000€–7000€/month plus a bonus component and participation in a Together bonus, and Greenstep provides benefits, occupational health and support for training and certifications. Tämä tiivistelmä on luotu tekoälyn avulla. In Finland / Finnish language required / Consultant / Customer work Greenstep is a Finland based, family-founded growth company started in 2010. We provide financial, HR, data & AI, technology and sustainability services that help our clients grow through clarity. Today we are a community of more than 800 experts across the Nordics and Europe, serving over 3,000 clients, and we are still growing fast. We are now looking for a Lead Fabric / Data Platform Consultant to join our Data & Technology team in Finland (~100 specialists). We work in hybrid mode and spend at least 50% of our working time in the office with colleagues. The Role This is the senior technical seat in our data platform engagements. You own the architecture, you build the hard parts yourself, and you are the person the client trusts when a decision needs to be made and defended. Microsoft Fabric and Azure are our core platform, and our client work increasingly spans Databricks, dbt and Snowflake. We are not looking for someone who knows one product and treats the rest as a footnote. We want a lead who can look at a client's situation and say, with reasons, which platform combination actually fits, then take that solution into production. You will typically be the technical lead on an engagement: shaping the target architecture, setting the engineering standards the team works to, and pairing with our data engineers and BI developers to get there. Some engagements are a single client where you are embedded as their platform lead. Others are larger builds where you lead a small delivery team. The lead scope here is technical and client facing , not line management. You grow people through mentoring, code review and how you run a project, and you help shape how our practice delivers. In practice, you will: Own the end-to-end architecture of client data platforms : ingestion, transformation, storage, modelling, serving and the operating model around them. Design and build on Microsoft Fabric across OneLake, Lakehouse, Warehouse, Data Factory pipelines and Synapse Data Engineering, and on the wider Azure data stack. Build and lead work on Databricks (Spark, Delta Lake, Unity Catalog), dbt and Snowflake where those are the right fit, including migrations and hybrid setups between them. Develop layered lakehouse and warehouse architectures (medallion, dimensional, and where relevant Data Vault) with real attention to partitioning, performance and cost. Build performant Power B I semantic models and reusable DAX that clients can trust as a single source of truth. Set the engineering discipline : version control, CI/CD, automated testing, observability and monitoring, so what we ship stays maintainable in production. Make data governance, security and privac y part of the design from day one (access, classification, lineage, RLS, GDPR). Advise clients directly : challenge requirements, run workshops, present options and trade offs to both engineers and business stakeholders, and support our sales team in scoping and solutioning. Strengthen our practice: reference architectures, reusable accelerators (Terraform, for example), DevOps and governance models, and mentoring colleagues. What we are looking for Substantial hands-on experience delivering data platforms and analytics , including in a consulting or client project setting, with a track record of owning solutions end to end. Demonstrable Microsoft Fabric experience across its core workloads, plus architectural understanding of how a Fabric implementation should be designed. Solid experience with the broader Azure data ecosystem: Azure Data Factory, Synapse, Azure SQL, storage, networking basics and identity. Real working experience with Databricks , dbt and Snowflake . We expect fluency in at least two of the three and informed judgement about all of them, not a passing familiarity. Strong Power BI skills: semantic (tabular) modelling, advanced DAX, Power Query (M), report design, workspace and deployment management. Strong Python / PySpark and SQL. Deep data modelling knowledge and a clear