Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.
Job DescriptionProject – 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.
- 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.
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.
Skills Required
- 7+ years of experience in data engineering or data architecture, including at least 3 years in an architect role
- Expert-level hands-on experience with Snowflake or Databricks, with working knowledge of the other
- Experience designing and delivering solutions on Databricks, including Delta Lake, Unity Catalog, and Spark
- Experience with at least one major cloud platform: Azure, AWS, or GCP
- Strong data modeling skills using Kimball, Data Vault, or 3NF
- Strong SQL skills and good Python skills
- Experience with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory
- Understanding of data security, governance, and regulatory requirements
- Client-facing experience, ideally in consulting or IT services
- Ability to explain technical trade-offs to business stakeholders
- Very good spoken and written English at C1 level
- Snowflake SnowPro Advanced, Databricks, or cloud architect certification
- Experience with Microsoft Fabric, BigQuery, or Redshift
- Experience with streaming, Kafka, Spark Structured Streaming, or event-driven architectures
- Experience with data catalogs or MDM tools such as Unity Catalog, Collibra, Atlan, or DataHub
- Experience with semantic layers, knowledge graphs, ontologies, RDF, or OWL
- Domain experience in BFSI, telecommunications, retail, manufacturing, gaming, healthcare, or media
- Previous presales or solution consulting experience
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
