We are in search of a proactive Solution Architect to drive the development and implementation of data solutions that support our gaming ecosystem. You’ll combine technical leadership with practical execution—working closely with engineers to build pipelines, model data, and deploy tools across the analytics platform. This role sits at the heart of our data organization, guiding the architecture while staying directly involved in Snowflake, Airflow, dbt, and Python-based workflows.
What you’ll do:
Architect scalable, secure, and cost-efficient batch data platforms
Spearhead the creation and establishment of data pipelines with Airflow and dbt
Develop and review Snowflake-based models, storage layers, and warehouse optimization strategies
Write and review production-level SQL and Python code for data workflows and utilities
Ensure data quality and observability practices are integrated from the ground up
Collaborate with multi-functional teams to define solutions that meet analytics and reporting needs
Guide and mentor data engineers, conduct architectural reviews, and improve engineering standards
Evaluate and integrate emerging tools, frameworks, and cloud-native solutions
Your Tech Toolbox:
Snowflake (must-have)
Airflow, dbt, Python, SQL
Power BI (used at the semantic and source layer level)
Git, Jira, CI/CD (e.g., GitLab/GitHub Actions)
Cloud platforms: AWS or GCP
What we’re looking for:
6+ years in data engineering or architecture roles, with recent hands-on development experience
Expertise in building and maintaining data platforms, not just crafting them
Deep understanding of data modeling, pipeline orchestration, and cloud-native storage
Proficiency in SQL and comfort with Python for scripting and automation
Proven track record to align data architecture with real business needs (product, analytics, operations)
Excellent communication and collaborator coordination skills
Bonus: Experience in gaming, mobile apps, or entertainment analytics
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