Full-Time
Delivery Solution Architect
Confirmed live in the last 24 hours
Prophecy
51-200 employees
Low-code platform for data engineering workflows
Mid
Remote in USA
- 4+ years of experience troubleshooting and supporting B2B large enterprise applications
- Advanced skills in Spark
- Strong work experience in production issue resolution
- You have built managed and maintained all aspects of ETL including development, bug fixing, monitoring and debugging of jobs
- Expert in Spark architecture and experience with Databricks/Snowflake environment configuration and management
- Experience with Git and CI/CD technologies
- Technology experience in SQL, Databricks/ Hadoop/ Spark Experienced in a variety of tools and products including Snowflake, BigQuery, Azure, Hadoop, CDP etc.
- You have experience of 'hands-on' technical support and escalation (through Incident, Change and Problem Management procedures) and ensure that SLAs are achieved, whilst also looking for ways to improve the day-to-day product delivery.
- Excellent verbal and written communication skills in English
- The ability to break down complex technical concepts and communicate them to stakeholders verbally and in writing
- Have a creative attitude toward problem-solving
- Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
- Strong desire to work in a not well-structured, fast-moving startup environment
- Bachelors Degree in Computer Science or related
- Troubleshoot and resolve complex customer issues related to the Prophecy IDE
- Assist with issues around third-party integrations with the Prophecy environment
- Reproduce customer bugs in production and sandbox environments to capture additional context, build documentation and better understand the root cause
- Set clear expectations with customers on the next steps and then meet or exceed them
- Surprise and delight customers, even when problems are not solved quickly
- Provide best practices guidance and support for solutions developed by customers using Prophecy IDE
- Deliver proactive suggestions for improving performance and efficiency in customer-specific environments
- Demonstrate a true sense of ownership and coordinate with engineering to achieve timely resolution of customer issues and requests
- Participate in the creation and maintenance of company documentation and knowledge articles
- Be a true proponent of customer advocacy
- Be a team player and coach other team members as needed
- Develop and maintain advanced knowledge of Prophecy IDE architecture and administration
- Support customers and other customer support team members via chat, email and video conference
Prophecy.io offers a low-code platform that simplifies the creation and management of data workflows and schedules, primarily using Apache Spark and Apache Airflow. Users can develop Spark workflows and manage Airflow schedules with minimal coding, making it accessible for data engineers and enterprises. The platform also includes features for searching metadata and tracking data lineage at the column level, which helps users understand the flow and transformation of their data. Unlike many competitors, Prophecy.io focuses on providing a comprehensive suite of tools that enhance productivity and efficiency in data operations without requiring extensive coding knowledge. The goal of Prophecy.io is to empower medium to large enterprises to optimize their data processing capabilities through a subscription-based service that offers these low-code tools.
Company Stage
Series B
Total Funding
$67.6M
Headquarters
San Francisco, California
Founded
N/A
6 month growth
↑ 0%1 year growth
↑ 28%2 year growth
↑ 141%
Simplify's Take
What believers are saying
- The recent $35 million Series B funding round indicates strong investor confidence and potential for growth and innovation.
- Prophecy's generative AI assistant and low-code SQL capabilities democratize data access, empowering both technical and non-technical users to efficiently manage data pipelines.
- Strategic partnerships and sponsorships, such as with the Data + AI Summit, enhance Prophecy's visibility and credibility in the data engineering market.
What critics are saying
- The rapid evolution of data engineering tools could outpace Prophecy's current offerings, necessitating continuous innovation to maintain competitiveness.
- Reliance on platforms like Databricks for integration may limit Prophecy's flexibility and adaptability to other emerging technologies.
What makes Prophecy unique
- Prophecy.io's low-code platform uniquely combines Apache Spark and Apache Airflow, streamlining data engineering processes for enterprises with minimal coding effort.
- The introduction of the Data Transformation Copilot for Databricks positions Prophecy as a pioneer in leveraging generative AI for data preparation, setting it apart from traditional ETL tools.
- Prophecy's focus on metadata management and column-level lineage tracking offers enterprises enhanced data governance capabilities, distinguishing it from competitors.
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