Die Stelle
04As a Senior Data Architect — Snowflake & AI (all genders), you are passionate about experience innovation and eager to push the boundaries of what’s possible.
01Consulting & Advisory
02Lead data architecture engagements as the primary client-facing consultant, owning the relationship with technical and business stakeholders.
03Define and communicate data strategies aligned with client business objectives — from initial framing to executive presentation.
04Facilitate workshops, conduct discovery sessions, and co-create transformation roadmaps with client teams.
05Build and deliver structured consulting deliverables: architecture blueprints, AI-readiness assessments, governance playbooks, prompt libraries.
06Coach and upskill client data engineers on modern data practices, AI tooling, and Snowflake Cortex capabilities.
07Serve as the escalation point for complex architectural decisions, ensuring alignment across business, IT, and data teams.
08Technical Architecture & Engineering
09Design and implement enterprise-grade Snowflake data architectures (data warehouse, data lakehouse, data mesh patterns).
10Lead the adoption of Snowflake Cortex for AI-native use cases: LLM-powered pipelines, intelligent data agents, and automated data workflows.
11Define data modeling standards (dimensional modeling, data vault, star schema) and govern their application across teams.
12Architect and oversee scalable ELT pipelines using dbt, Fivetran, and custom connectors.
13Drive data governance, access controls, security, and cost management best practices within Snowflake.
14Implement data quality frameworks and observability tooling (Monte Carlo, Datafold) with full lineage tracking.
15Establish CI/CD practices and DevOps standards for data platform deployments.
