EU remote
[C3I] Data Architect
About this role
Project – the aim you’ll have We are the Data & Analytics Global Capability at Software Mind. We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media & entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments.
Role – how you’ll contribute Architecture & Delivery: Assess the client’s current data landscape and design target-state architectures (cloud, hybrid, on-prem) aligned with their business goals. Select technologies based on the client’s needs, constraints and existing stack, with Snowflake and Databricks as our core platforms. Design lakehouse, warehouse and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming and API integrations.
Design data models (conceptual, logical, physical) using Kimball, Data Vault or 3NF, as well as semantic layers for BI and AI. Define security (IAM, encryption, masking, row-level security), HA/DR, performance and cost optimization. Build data governance foundations: catalog, metadata, lineage, data quality and data contracts. Make sure platforms are ready for advanced analytics, ML, GenAI and real-time use cases. Create reference architectures, reusable patterns and accelerators for our Data & AI offering.
Act as technical authority for delivery teams: review designs and keep quality consistent across projects. Presales & Client Advisory Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs. Present architectures and recommendations to client stakeholders, from engineering teams to C-level. Design and run PoCs and technical demos.
Evaluate new approaches and tools (data mesh, streaming-first, AI-native platforms) and share what you learn internally and externally. Expectations – the experience you need 7+ years in data engineering or data architecture, including at least 3 years in an architect role. Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other.