[Hiring] Data Architect @Software Mind

Role Description

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.

Qualifications

• 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.
• Experience with at least one major cloud (Azure, AWS or GCP) and its data services.
• Strong data modeling skills (Kimball, Data Vault, 3NF).
• Strong SQL and good Python.
• Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory).
• Solid understanding of data security, governance and regulatory requirements.
• Client-facing experience, ideally in consulting or IT services, and the ability to explain technical trade-offs to business stakeholders.
• Very good English, spoken and written (C1).

Requirements

• 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.
• 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.

Benefits

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access to language classes
• Access to knowledge-sharing initiatives
• Access to private healthcare and life insurance
• Access to multisport card