About the role
Job Description
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.
Qualifications
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. * 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).
Additional skills – the edge you have
* Snowflake (SnowPro Advanced), Databricks or cloud architect certifications. * Experience with Microsoft Fabric, BigQuery or Redshift. * Streaming (Kafka, Spark Structured Streaming) and event-driven architectures. * Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub). * Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL). * Domain experience in one of our verticals (BFSI, telco, retail/manufacturing, gaming & betting, healthcare, media). * Previous presales or solution consulting experience.
Additional Information
What we offer:
* 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
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.