At a Glance
- Tasks: Help customers solve technical and data challenges using Sigma's innovative platform.
- Company: Join an award-winning team at Sigma, a leader in AI analytics.
- Benefits: Enjoy equity, generous health benefits, flexible time off, and a dog-friendly office.
- Other info: Dynamic work environment with excellent growth opportunities and a commitment to diversity.
- Why this job: Make a real impact while collaborating with diverse teams on exciting projects.
- Qualifications: Experience in data analytics support and strong SQL skills are essential.
The predicted salary is between 40000 - 50000 £ per year.
Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.
What You Will Be Doing
- You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
- Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
- Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
Qualifications We Are Looking For
- Industry experience supporting enterprise products for data analytics.
- Computer Science fundamentals. Strong domain expertise in databases and business intelligence.
- SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc.
- SQL query performance troubleshooting and plan generation understanding.
- Proficient in data modeling concepts.
- Ability to properly chart data into logical visualizations.
- A proven track record of building trust with customers and bringing issues to resolution quickly.
- Excellent verbal and written communication skills.
- A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc).
- Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution.
- Desire to be a great teammate and have fun at work.
Highly Desirable Skills & Experiences
- Supporting a cloud service in production.
- Experience working with Snowflake, Redshift, BigQuery.
- Knowledge of GCP, AWS.
- Startup experience.
About Us
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Benefits For Our Full-Time Employees
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
Technical Support Engineer - Data Analytics & Cloud (Equity) employer: Sigma
At Sigma, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Technical Support Engineers enjoy generous health benefits, flexible time off, and the opportunity to work in a dog-friendly office environment, all while contributing to an award-winning team recognised for outstanding customer service. With a strong focus on employee growth and development, Sigma provides the tools and support needed for you to thrive in your career within the rapidly evolving field of data analytics and cloud technology.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Support Engineer - Data Analytics & Cloud (Equity)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Sigma on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and understanding data analytics concepts. Be ready to discuss how you've tackled complex technical issues in the past—real examples will make you stand out!
✨Tip Number 3
Show off your collaboration skills! During interviews, highlight times when you worked with cross-functional teams. Sigma values teamwork, so demonstrating your ability to work well with others is key.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Sigma team.
We think you need these skills to ace Technical Support Engineer - Data Analytics & Cloud (Equity)
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your experience with data analytics and cloud services in your application. We want to see your SQL prowess and any relevant tools you've used, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Technical Support Engineer role. Mention how your past experiences align with our needs at Sigma, especially in diagnosing complex issues and collaborating with teams.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your skills and experiences. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sigma
✨Know Your SQL Inside Out
Since the role requires strong SQL proficiency, make sure you brush up on your SQL skills. Be prepared to discuss JOINs, Window Functions, and performance troubleshooting. Practising real-world scenarios can help you articulate your thought process during the interview.
✨Understand the Sigma Platform
Familiarise yourself with Sigma's platform and its features. Knowing how it helps users solve data challenges will allow you to speak confidently about how you can contribute to the team. Consider exploring case studies or user testimonials to understand the impact of the product.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you coordinated with different departments to resolve issues or improve processes.
✨Prepare for Technical Scenarios
Expect technical questions that may involve diagnosing complex issues. Prepare by reviewing common problems faced in data analytics and cloud services. You might even want to simulate a troubleshooting session with a friend to practice articulating your thought process clearly.
