Snowflake Solution Architect (AI&Data). Fluent in data modeling

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NieokreśloneZdalnie·WarszawaFull-time

#473701·Dodano wczoraj·1

Źródło: Accenture

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Tech Stack / Keywords

Snowflake SQL PythondbtAWS Azure GCPApache IcebergTerraformSnowflake CoCo

Podsumowanie oferty

Architect and implement cloud-based data warehousing, lakehouse, analytics and AI solutions on Snowflake and major cloud providers. Design data platforms and AI agents, and advise clients on data modernization.

Wymagania

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

Nice to have:

Experience with advanced Snowflake features such as Snowpark, Streamlit in Snowflake, Native Apps, Snowpark Container Services, Dynamic Tables or dbt Projects on Snowflake.
Familiarity with machine learning or GenAI integration, including operationalizing AI/ML models or leveraging LLMs within Snowflake (Snowflake ML, Cortex AI Functions, Cortex Agents) or external services.
Hands-on experience with Snowflake CoCo (formerly Cortex Code) or Snowflake CoWork, such as building, sharing and governing reusable agent skills.
Experience designing semantic layers for AI and BI (e.g., Snowflake Semantic Views, Open Semantic Interchange).
Knowledge of modern data stack tools (e.g., dbt, Fivetran, Stitch, Databricks, Dataiku, Power BI, Tableau, Looker).
Exposure to data mesh or data fabric architectures.
Understanding of cost optimization and FinOps principles for data solutions.
Experience leading data modernization programs in large enterprise environments.
Snowflake SnowPro Core, SnowPro Specialty (e.g., Gen AI) or SnowPro Advanced series certifications.
Azure, GCP or AWS proprietary certifications.

Obowiązki

Architect and implement cloud-based data warehousing, lakehouse, analytics and AI solutions on the Snowflake AI Data Cloud and selected major cloud providers (Microsoft, GCP, AWS).
Define best practices for data governance, security, performance optimization and cost efficiency in Snowflake environments, including Horizon Catalog and governed, auditable access for AI agents.
Collaborate with data engineers, data scientists, AI engineers and cloud architects to deliver end-to-end data platform and AI solutions.
Integrate Snowflake with broader cloud ecosystems, including open lakehouses (Apache Iceberg), data integration and streaming services (Openflow, Snowpipe Streaming), AI/ML frameworks and visualization tools.
Use Snowflake CoCo to accelerate delivery of SQL, dbt models, pipelines and AI applications, and define guardrails, reusable skills and review practices for AI-assisted development.
Design and deliver AI agents and conversational analytics with Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search) and Snowflake CoWork, grounded in governed semantic views.
Advise clients on modernization strategies, including migration from legacy on-prem databases to Snowflake-based architectures using AI-assisted migration tooling such as SnowConvert AI.
Support pre-sales and solutioning activities, including estimation, proof-of-concepts and technology assessments.
Stay up to date with Snowflake innovations, including CoCo, CoWork, Cortex AI, Semantic Views, Openflow and Apache Iceberg, and industry trends in data and AI.
Collaborate across project development stages with business analysts, source system experts, data architects, engineers and product owners.
Propose and defend effective, consistent solutions that balance strategic development and existing architecture.
Communicate and document work clearly, considering performance and cost factors in design decisions.

Benefity

Individual support from a People Lead and a clearly defined professional development path, including the possibility of a session with a Coach.
A comprehensive training package, including soft skills, technical and language training, access to e-learning platforms, Gallup test and GenAI training, with the possibility of co-financing courses and certifications.
Employee Assistance Program offering legal, financial and psychological consultations.
Employee Share Purchase Plan; employees who own company shares are automatically eligible for quarterly dividends.
Paid employee referral program.
Private medical care and life insurance.
Access to the Worksmile benefits platform, including the Multisport card.

Kursy językowe

Dofinansowanie szkoleń

Udziały pracownicze

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Accenture

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