Orchestra
Founding Solutions Architect
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What's Orchestra?
Orchestra is an AI infrastructure company and we are the creators of Orchestra - the Control Plane for Data and AI.
Data teams are overturning how they do their day-to-day. More people than ever want to use AI and Data to automate. But data teams still spend thousands of manual hours manually moving data, integrating tools, and firefighting ad-hoc requests. We’re solving that problem in massive enterprises like Experian and Octopus Energy, and are hiring for the team to scale our growth.
Building the Orchestra platform was the first step, but our hardest challenges still lie ahead. If you're excited to solve some of AI’s biggest problems, build a generational company, and do it within a friendly, hard-working, talented, but humble team, then Orchestra is for you.
Role Mission
As the Founding Solutions Architect, you’ll be responsible for every aspect of our customers’ success. We don’t just sell orchestration and software, but business outcomes as well. We are often in positions of high trust with customers who look for guidance on how to implement data strategy, architecture, and solutions to business solutions. Your mission will be to set-up the Solutions Architecture team (pre and post sales), finesse and evolve our existing programmes for success, and ultimately help us win by making our customers win.
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What You'll Accomplish
- Implementing multiple complex data architectures: Partner with prospects and customers to design workflow architectures using Orchestra (Python, dbt, SQL, cloud-native services), and set the standard for best practices around pipelines, asset dependencies, SLOs, lineage and observability.
- Designing problems to solutions: You can use Orchestra to solve almost any problem. You’ll lead on helping our customers discover their problems and design solutions to them.
- Own onboarding and implementation: Lead onboarding for new customers end-to-end: installation, setup and full pipeline migration, rewriting workflows into Orchestra's declarative, serverless model and running hands-on sessions that get teams deploying their first assets.
- Become a trusted advisor and consultant to our customers: Act as the technical escalation point for enterprise customers, troubleshooting across the entire data stack.
- Steer Product: Capture product gaps, recurring customer needs and integration requests, and feed them directly into engineering, helping shape the roadmap for connectors, AI workflow patterns, observability, scheduling and asset-level runtime intelligence.
- Own a KPI: you’ll be steering net revenue retention or a similar metric that ensures that when our customers win, Orchestra wins too.
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Exceptional Candidates Have Demonstrated
- Experience: Fast promotion and high ownership over 5+ years in a Solutions Architect, Data Engineering consultancy, or Technical Success/Customer Engineering role, in SaaS, cloud or data infrastructure.
- Technical aptitude: You may not have started your career technically, but you are now well-versed in topics like orchestration, data architecture, cloud infrastructure etc.
- Curiosity: Endlessly curious, and energised by helping customers solve real engineering problems. You enjoy rolling up your sleeves to dig into pipelines, repos, permissions and logs.
- Empathy: You build trust with people you meet, you are a good listener, and others listen to you.
- Incredible communication: You translate technical complexity into actions and would list describing complex things in simple terms as a key skill.
- High ambition, motivation, competitiveness: Driven by ownership and impact, excited to build category-defining playbooks from the ground floor, not just follow existing ones.
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