Senior Data Platform Engineer @ GSCF

We are seeking a highly skilled Senior Data Platform Engineer to join our data team and play a critical role in designing, building and maintaining scalable data infrastructure and warehousing solutions. This position is ideal for someone with deep technical expertise in data modeling, data warehouse, data lakehousing, pipeline development, and cloud-based analytics who can work across complex data environments and drive data-driven decision making across the organization.

• 5+ years of hands-on SQL experience with expertise in analytical query and database performance tuning
• 5+ years of proven data warehouse experience in designing, implementing, and managing large-scale data systems
• Strong understanding of data modeling concepts, including dimensional data modeling, schema design and data architecture patterns
• 5+ years of experience with at least one major cloud provider and their data services
• Proficiency with data orchestration tools such as Apache Airflow, Dagster or similar workflow management systems
• 5+ years of hands-on Python programming skills using Pandas or Polars, venv
• Experience with modern cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery

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We are seeking a highly skilled Senior Data Platform Engineer to join our data team and play a critical role in designing, building and maintaining scalable data infrastructure and warehousing solutions. This position is ideal for someone with deep technical expertise in data modeling, data warehouse, data lakehousing, pipeline development, and cloud-based analytics who can work across complex data environments and drive data-driven decision making across the organization.

Design, build and optimize scalable data warehousing solutions and data infrastructure , Create and maintain robust ELT processes for data integration from multiple sources , Develop and maintain data pipelines ensuring scalability, reliability, quality and efficiency , Design and implement data models following best practices and industry standards , Optimize data warehouse performance and ensure data integrity across all systems , Participate in data architecture and engineering decisions, bringing strong experience and knowledge to technical discussions , Track key business metrics and KPIs , Establish and maintain data governance frameworks, including data linage tracking, quality monitoring, and metadata management , Implement data quality checks, validation rules, and automated testing to ensure data accuracy and consistency , Define and enforce data standards, naming conventions, and documentation practices across all data assets , Work collaboratively with various teams including Product, Operation, Finance to understand data needs and provide solutions , Provide mentorship by offering feedback ang guiding colleagues to improve team capabilities , Translate business requirements into technical solutions and drive product innovation , Ensure data governance, privacy, security standards, and compliance requirements are met ] Requirements : SQL, Python, Apache Airflow, Data modelling, Data warehouses, Cloud Additionally : Private healthcare, Flat structure, Small teams, International projects, Free coffee, Playroom, Free snacks, Free beverages, Modern office, Startup atmosphere, No dress code.