Tech Lead / Manager, Acryl Data

• Technical Expertise (7+ years)
• Frontend Development: Strong experience with React, TypeScript, and modern web development practices. Proven track record of building and scaling consumer-facing web applications that handle significant user traffic
• API Design: Experience designing and implementing RESTful APIs and GraphQL services for complex data applications
• Backend Development: Expert-level proficiency in Java and Spring Boot ecosystem, with experience building scalable microservices architectures
• Cloud Platforms: Hands-on experience with cloud infrastructure (AWS/GCP/Azure), containerization (Docker), and familiarity with orchestration (Kubernetes)
• Management Experience (3+ years)
• Team Leadership: Proven track record of managing and growing engineering teams of 5-15 engineers
• Hiring: Experience recruiting, interviewing, and hiring top engineering talent across multiple disciplines
• Mentorship: Demonstrated ability to mentor engineers and help them advance their careers
• Process Management: Experience implementing engineering processes, agile methodologies, and development workflows
• Data Infrastructure: Familiarity with modern data stack tools and technologies (data warehouses, ETL/ELT tools, BI platforms)
• Enterprise Software: Experience building and scaling enterprise software products with complex deployment requirements

Desirable

• As AI and data products become business-critical, enterprises face a metadata crisis:
• No unified way to track the complex data supply chain feeding AI systems
• Engineering teams struggling with data discovery, lineage, and governance
• Organizations needing machine-scale metadata management, not just human-browsable catalogs
• We're seeking an exceptional Tech Lead / Manager to join our engineering team and help scale DataHub's impact across thousands of enterprises worldwide
• This role combines deep technical leadership with people management to drive product excellence, engineering culture, and team growth in our mission to make data reliable and discoverable
• Architecture & Design: Lead technical architecture decisions for DataHub's user facing products, ensuring scalability, performance, and reliability for enterprise deployments
• Hands-on Development: Contribute directly to critical features across the full stack - Java/Spring Boot backend services, React/TypeScript frontend, and Python ingestion framework where appropriate
• Code Quality: Establish and maintain high standards for code quality, testing, and documentation across multiple programming languages and frameworks
• Performance Optimization: Establish performance metrics and optimization strategies for complex data visualizations and interactions
• Team Building & Culture: Hire, onboard, and mentor world-class engineers while fostering a collaborative, inclusive engineering culture that balances innovation with operational excellence
• Performance & Career Development: Conduct regular 1:1s, performance reviews, and create individual development plans aligned with company goals to help engineers grow from mid-level to senior and staff levels
• Process & Delivery: Implement engineering processes, workflows, and best practices while ensuring teams deliver high-quality features on time
• Release & Quality Management: Oversee regular releases, comprehensive testing strategies, and incident response for both open-source DataHub and enterprise offerings
• Product Partnership: Work closely with Product Management to translate business requirements into technical solutions and realistic delivery timelines
• Go To Market Support: Collaborate with Customer Success and Sales Engineering teams to understand enterprise customer needs, address technical questions during pre and post sales cycles, and provide expertise for complex deployments
• Community Engagement: Contribute to the open-source DataHub community through technical discussions, code reviews, and architectural decisions