Resident Solutions Architect

Tbwa Chiat/Day Inc
6 days ago
Create job alert

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI.

About the Role

Starburst Data is seeking a highly skilled and motivated individual to join our team as a Resident Solution Architect. In this role, you will be responsible for working closely with our customers to understand their business challenges and requirements, and then architecting and implementing solutions using Starburst products. You will also work closely with our partner ecosystem and design and implement comprehensive training programs, ensuring partners are equipped to deliver top-tier solutions to clients. As a Resident Solution Architect, you will serve as a trusted advisor to our customers, helping them maximize the value of their data and achieve their business objectives.

As a Resident Solution Architect at Starburst you will:

  • Collaborate with customers to understand their business goals, data architecture, and technical requirements.
  • Design end-to-end solutions that leverage Starburst products to address customer needs, including data access, analytics, and performance optimization.
  • Develop architectural diagrams, technical specifications, and implementation plans for customer projects.
  • Lead the implementation and deployment of Starburst solutions, working closely with customer teams and internal stakeholders.
  • Provide technical guidance and best practices to customers on using Starburst products effectively.
  • Work with partners to train and upskill external personnel on Starburst Products for successful delivery.
  • Collaborate with internal teams and external partners to create resources, best practices, and processes that enhance partner delivery capabilities.
  • Troubleshoot and resolve technical issues that arise during the implementation and operation of Starburst solutions.
  • Stay current on industry trends, emerging technologies, and best practices in data management and analytics.

Some of the things we look for:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • 5+ years of experience in a technical role, such as solution architect, data engineer, or software engineer.
  • Deep understanding of data architecture principles, including data modeling, data integration, and data warehousing.
  • Proficiency in SQL and experience with distributed query engines (e.g., Presto, Trino, Apache Spark).
  • Strong problem-solving skills and the ability to think strategically about business challenges and technical solutions.
  • Excellent communication and interpersonal skills, with the ability to effectively interact with customers and internal teams.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Prior experience with open-source technologies and contributions to the open-source community are highly desirable.
  • Prior experience with technical training internally or externally is highly desirable.

Build your career at Starburst

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge every day to disrupt our industry – and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background, and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

#J-18808-Ljbffr

Related Jobs

View all jobs

CRM Specialist

Data Pre Sales Consultant - Remote

Data Engineer - Databricks - Remote - £60k

Senior Data Engineer - Remote - £70k

Procurement Professional

Head of Data - Leeds - Hybrid Remote - £110k - £140k

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.