Forward Deployed Software Engineer, Data

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Spiritual Data

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Artificial Intelligence • SaaS • Productivity

Spiritual Data is an advanced analytics platform that empowers data teams through the use of artificial intelligence to enhance productivity and efficiency. Their tools, such as DataPilot, aim to automate and optimize data management tasks, revolutionizing how data engineering teams operate. By providing AI-driven insights and recommendations, Spiritual Data enables teams to improve their data documentation, quality testing, and query handling, resulting in significant cost savings and operational improvements. The company focuses on aiding analytics, platform, and data engineers by integrating their solutions seamlessly into daily workflows and popular platforms like VSCode, Python, and Slack, offering tools that auto-generate models, conduct tests, and provide documentation. Spiritual Data is a trusted solution among leading enterprises, offering robust security features without compromising on AI functionality.

- employees

🤖 Artificial Intelligence

☁️ SaaS

⚡ Productivity

📋 Description

• Lead the technical implementation, integration, and optimization of Altimate AI's platform within complex enterprise data environments. • Serve as the primary technical point of contact for key accounts, translating customer needs into technical requirements for the product and engineering teams. • Develop custom scripts, integrations, and tools using Python to extend the capabilities of our platform and ensure seamless operation within customer ecosystems. • Troubleshoot, diagnose, and resolve complex technical issues related to data connectivity, performance, and workflow integration. • Contribute to the core product by identifying common integration patterns and developing reusable components or product features. • Conduct technical workshops and provide expert guidance on data best practices, leveraging tools like Snowflake, Databricks, and dbt.

🎯 Requirements

• 4+ years of professional software engineering or data engineering experience • Bachelor's or Master's degree in Computer Science or a related technical field • Expert proficiency in Python • Deep, hands-on experience with the modern data stack, including: • Cloud platforms (AWS, GCP, or Azure) • Data Warehouses/Lakes (Snowflake, Databricks, or similar) • Data Transformation/Modeling (DBT) • Workflow Orchestration (Airflow or similar)

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development opportunities