Snowflake Solution Architect (AI&Data)

Location: Hybrid in Warsaw, Poland, with additional location in Krakow; remote, client-site, and hirify.global-office work may be combined depending on project needs, with some in-person collaboration required.

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and digital transformation solutions for businesses, governments, and other organizations.

What you will do

• Architect and implement cloud-based data warehouses, lakehouses, analytics platforms, and AI solutions on Snowflake and AWS, Azure, or GCP.
• Define data governance, security, performance, cost-efficiency, metadata, and auditable access practices for Snowflake environments.
• Integrate Snowflake with Apache Iceberg, Openflow, Snowpipe Streaming, AI/ML frameworks, visualization tools, and broader cloud ecosystems.
• Design AI agents and conversational analytics using Cortex AI, Cortex Agents, Cortex Analyst, Cortex Search, Snowflake CoWork, and governed semantic views.
• Support legacy database modernization, migrations, pre-sales, estimations, proofs of concept, and technology assessments.
• Collaborate with data engineers, data scientists, AI engineers, cloud architects, business analysts, source-system experts, and product owners to deliver and document solutions.

Requirements

• Strong hands-on Snowflake experience, including performance tuning, security setup, data sharing, automation, Dynamic Tables, Streams, and Tasks.
• Experience designing and implementing data platforms on at least one major cloud provider: AWS, Azure, or GCP.
• Expertise in SQL, data modeling including 3NF and star/snowflake schemas, and ELT/ETL design patterns.
• Proficiency in Python or a similar scripting language for data transformation, orchestration, and automation.
• Deep understanding of cloud data architecture, open data lakehouse concepts including Apache Iceberg, API integration, and event-driven architectures.
• Knowledge of data governance, metadata management, and compliance frameworks such as GDPR, HIPAA, SOC2, and the EU AI Act.
• Experience with CI/CD and DevOps practices for data workflows, including tools such as Git, dbt, Snowflake CLI, Terraform, and Jenkins.
• Practical experience with AI-assisted development and the ability to review and validate AI-generated code.
• Excellent communication and client-facing skills, with the ability to translate business needs into technical solutions and collaborate across multidisciplinary teams.

Nice to have

• Experience with Snowpark, Streamlit in Snowflake, Native Apps, Snowpark Container Services, Dynamic Tables, or dbt Projects on Snowflake.
• Experience with machine learning, GenAI, LLMs, Snowflake ML, Cortex AI Functions, Cortex Agents, Snowflake CoCo, or Snowflake CoWork.
• Experience designing semantic layers for AI and BI, including Snowflake Semantic Views or Open Semantic Interchange.
• Knowledge of modern data stack tools such as dbt, Fivetran, Stitch, Databricks, Dataiku, Power BI, Tableau, or Looker.
• Exposure to data mesh, data fabric, cost optimization, FinOps, or large-enterprise data modernization programs.
• Snowflake SnowPro or cloud-provider certifications.

Culture & Benefits

• Permanent employment contract.
• Professional development support through a People Lead, coaching, technical and language training, e-learning, GenAI training, and co-financing for courses and certifications.
• Private medical care, life insurance, Employee Assistance Program, Worksmile benefits platform, and Multisport card.
• Employee Share Purchase Plan with quarterly dividends for eligible employee shareholders.
• Paid employee referral program and an inclusive, diverse, sustainability-focused work environment.