Senior Delivery Solution Architect

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn., This is an amazing opportunity to be an early engineer in a high-growth, high-potential startup. You will be working with a team of dynamic engineers who take pride in solving complex problems., We are seeking a Professional Services Data Solutions Architect to design, implement, and deliver modern data solutions for customers. This role sits at the intersection of data engineering, cloud architecture, and customer engagement, partnering closely with Professional Services, Sales, and Product teams to ensure successful customer outcomes. You will translate business requirements into scalable, secure, and high-performing data architectures while acting as a trusted technical advisor throughout the customer lifecycle., Customer Delivery & Architecture

• Lead the design and implementation of end-to-end data solutions, including ingestion, transformation, orchestration, and analytics layers
• Translate customer business requirements into technical architectures and implementation plans
• Own technical solutioning during Professional Services engagements, from discovery through delivery and handoff
• Set clear expectations with customers on the next steps and then meet or exceed them
• Ensure solutions align with best practices for scalability, reliability, security, and cost optimization
• Troubleshoot and resolve complex customer issues related to the Prophecy IDE
• Assist with issues around third-party integrations with the Prophecy environment

Collaboration & Enablement

• Partner with Sales and Solutions Engineering during pre-sales for technical discovery, solution validation, and scoping
• Collaborate with Product and Engineering teams to provide customer feedback and influence roadmap priorities
• Create technical documentation, architecture diagrams, and implementation guides
• Mentor consultants and engineers within Professional Services

Do you have experience in Spark?, * 7+ years of experience in data engineering, analytics engineering, or data architecture

• 4+ years of experience in professional services or customer facing consulting role delivering data solutions
• Advanced skills in Spark
• Hands on DBT experience
• 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.
• The ability to break down complex technical concepts and communicate them to stakeholders verbally and in writing

Success Metrics

• Successful delivery of customer data solutions on time and within scope
• High customer satisfaction and adoption of delivered architectures
• Positive feedback from internal stakeholders

• Very competitive compensation
• Celebrate your birthday and anniversary with a day off!
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects
• And more!