AWS Databricks - Platform Engineer

Role : AWS Databricks - Platform Engineer

Location: Poland, Spain (preferred Hybrid/ but remote is also fine)

• we are not looking for snowflake developers, but platform engineers.
• Evaluate Snowflake for data processing, storage, and analytics while considering key factors such as security, scalability, performance, and cost.
• Establish and enforce data engineering best practices, standards, and guidelines to ensure data quality, reliability, and consistency in terms of Snowflake.
• Research, test, benchmark, and assess new Snowflake features, providing recommendations for their integration into the data platform.
• Develop and implement Snowflake-based solutions that align with business strategy, architectural considerations, and both short- and long-term roadmaps, ensuring high scalability and extensibility.
• Optimize Snowflake performance, conduct tuning, and troubleshoot data infrastructure components to maximize efficiency and resource utilization.
• Proactively identify bottlenecks , gaps, and opportunities, in snowflake and driving necessary changes through direct action or by influencing peers and leadership.
• Deploy Snowflake following best practices, ensuring knowledge transfer so engineers can independently extend its capabilities.
• Engage hands-on with customers to demonstrate and communicate Snowflake implementation best practices.
• Support prospects and customers throughout the sales cycle, from demos to proof-of-concept, design, and implementation, effectively showcasing Snowflakes value.
• Collaborate with Product Management, Engineering, and Market teams to continuously enhance Snowflake
• solutions.
• Apply hands-on expertise with AWS and cloud-based data services such as Snowflake.
• Leverage software engineering and analytical skills to solve large-scale business challenges.
• Utilize modern data pipeline, replication, and processing tools such as Matillion, Fivetran, DBT, Airflow, and Astronomer.
• Ensure compliance with data security and privacy regulations, implementing best practices for data protection.
• Understand the end-to-end data analytics stack and workflow, from ETL processes to data platform design and BI tools.
• Demonstrate expertise in large-scale databases, data warehouses, ETL, and cloud technologies, including Data Lakes, Data Mesh, and Data Fabric.
• Bridge the gap between business challenges and Snowflakes solutions, aligning data architecture with customer needs.
• Conduct deep discovery of customer architecture frameworks and integrate them with Snowflake?s data architecture.

Exhibit strong proficiency