[Hiring] Data Platform Architect @Poland and Eastern Europe

Role Description

You will be:

• Responsible for end-to-end ownership of the Snowflake-based data platform architecture, from design through production.
• Ensuring architectural consistency and quality across all implementation teams.
• Driving execution across distributed teams, including close collaboration with India-based delivery teams.
• Acting as the primary technical counterpart for senior US-based stakeholders, operating in global delivery models across multiple time zones.
• Translating business objectives into concrete, executable technical plans.
• Making fast, pragmatic architectural decisions while effectively managing trade-offs.
• Unblocking teams and resolving cross-team technical dependencies.
• Defining and enforcing architectural standards, patterns, and guardrails.
• Ensuring production readiness, including scalability, security, governance, and operational robustness.
• Supporting rollout and early production phases when required.

Qualifications

Your profile:

• Technical skills:
• Deep, hands‑on experience with Snowflake as a core enterprise data platform.
• Proven track record of delivering large‑scale data platforms, not just designing them.
• Strong understanding of modern enterprise data platform architectures.
• Practical experience with data ingestion, transformation, and modeling patterns.
• Hands‑on experience with dbt or equivalent transformation frameworks.
• Solid understanding of cloud platforms (even if Snowflake is the core layer).
• Strong knowledge of security, governance, and operational considerations in production systems.
• Leadership & Delivery:
• Ability to take full technical ownership without supervision.
• Confidence working directly with senior client leadership and decision makers.
• Strong decision‑making skills under ambiguity and time pressure.
• Delivery‑oriented mindset with high accountability.
• Ability to lead by authority, clarity, and execution discipline (without formal authority).
• Excellent communication skills, including the ability to clearly say “no” and define trade‑offs.
• Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Requirements

• Work from the European Union region and a work permit are required.

Nice to have

• Experience supporting early production or hypercare phases.
• Background in highly regulated or data‑sensitive environments.
• Previous experience acting in a Field CTO, Principal Architect, or equivalent role.
• Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
• Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision