Job Details:
1. Profile Insights
Skills Alignment with Job Description
Candidates should have experience in Systems & Applications Support, particularly within enterprise-level data analytics products. Strong troubleshooting capabilities and structured problem-solving skills are essential.
Required Education Background
A Bachelor’s degree in Computer Science, Information Systems, or a related technical field is required.
2. Job Overview
Position Title
Technical Support Engineer
Employment Type
Full-Time
Work Schedule
On-Call (Periodic Rotational Duties)
Salary Range
$90,000 – $125,000 per year
Compensation may vary depending on qualifications, technical expertise, and professional experience.
3. About the Company – Sigma
Company Overview
Sigma is an advanced AI-powered analytics and application development platform connected directly to cloud data warehouses. It enables organizations to transform live data into operational intelligence.
Platform Capabilities
Sigma provides:
- Spreadsheet-style interface
- SQL editor
- Python editor
- Visual builders
- Native AI integrations
These tools allow teams to build interactive dashboards, AI applications, operational workflows, and embedded analytics.
Recent Funding & Growth
In May 2024, Sigma secured $200M in Series D funding, significantly increasing its valuation. This funding supports innovation in AI infrastructure, business intelligence, and enterprise collaboration.
Office Locations
Sigma operates in:
- San Francisco (SF)
- New York City (NYC)
- London
The company maintains an in-office work environment.
4. Role Summary
The Technical Support Engineer plays a critical role in delivering world-class customer experience. The position supports enterprise customers in diagnosing and resolving technical challenges related to data analytics and cloud platforms.
5. Key Responsibilities
Technical Issue Diagnosis
- Identify and resolve complex customer issues
- Support pre-sales teams with technical clarifications
- Troubleshoot SQL queries and performance bottlenecks
Performance Optimization
- Improve system efficiency
- Optimize query execution plans
- Identify data modeling improvements
Tool & Process Development
- Create diagnostic tools
- Document best practices
- Build scalable issue resolution frameworks
On-Call Duties
- Participate in rotational on-call schedules
- Support quarterly automation projects
6. Required Qualifications
Professional Experience
- Minimum 2+ years supporting enterprise data analytics products
Educational Requirements
- Bachelor’s degree in Computer Science or related field
Core Technical Knowledge
- Strong understanding of computer science fundamentals
- Deep expertise in databases and business intelligence
7. Technical Skills Requirements
SQL Expertise
Candidates must demonstrate strong SQL proficiency including:
- JOIN operations
- Window Functions
- Aggregations
- Partitions
- CTEs
- Subqueries
Database & BI Knowledge
Strong domain expertise in:
- Enterprise databases
- Business Intelligence systems
Data Modeling
- Logical schema design
- Data relationship structuring
- Normalization principles
Query Optimization
- Query performance troubleshooting
- Execution plan analysis
- Optimization techniques
8. Collaboration & Communication Skills
- Excellent written and verbal communication
- Strong cross-functional coordination
- Ability to collaborate with backend, frontend, DevOps, design, product, and go-to-market teams
- Proven ability to build customer trust
9. Highly Desirable Skills
Cloud Service Experience
- Supporting production cloud services
Data Warehouse Technologies
Experience with:
- Snowflake
- Databricks
- Redshift
- BigQuery
Cloud Platforms
- GCP
- AWS
Startup Experience
Prior experience in a fast-paced startup environment is considered advantageous.
10. Compensation & Benefits
Base Salary
$90,000 – $125,000 annually
Bonus & Equity
- Annual bonus eligibility
- Stock options
- Equity participation
Health & Financial Benefits
- 401(k) (Traditional & Roth)
- Health insurance
- Flexible Spending Account (FSA)
- Commuter benefits
- Paid bonding time for new parents
- Flexible time off policy
- Lunch program
- Dog-friendly office
11. Workplace Environment
In-Office Policy
This is an in-office role in SF, NYC, and London locations.
Culture & Values
Sigma promotes:
- Team collaboration
- Innovation
- Continuous improvement
- Customer-first mindset
Diversity & Inclusion
Sigma is an equal opportunity employer committed to diversity regardless of race, religion, gender, age, disability, or veteran status.
12. Growth Opportunities
Employees have opportunities to:
- Contribute to product innovation
- Develop scalable support systems
- Expand cloud and AI expertise
- Participate in cross-functional strategic projects
13. AI in Hiring Process
Sigma uses AI tools in candidate screening to assist in evaluation. These tools support — but do not replace — human decision-making.
14. Privacy & Data Protection
Candidate personal data is processed for recruitment purposes. Data may be transferred internationally, including to the USA, UK, and Canada, in compliance with privacy standards.
15. Application Encouragement & Final Notes
Applicants are encouraged to apply even if they do not meet 100% of the listed qualifications. Sigma values growth mindset, collaboration, and enthusiasm.
Conclusion
The Technical Support Engineer role at Sigma offers a structured, high-impact opportunity within a rapidly growing AI-driven analytics company. With competitive compensation, strong benefits, and exposure to advanced cloud technologies, this role is designed for professionals who excel in SQL, data systems, customer support, and cross-functional collaboration. Candidates with enterprise analytics experience and strong database knowledge are well-positioned to succeed.
Frequently Asked Questions (FAQs)
1. What is the required experience for this role?
At least 2 years of experience supporting enterprise data analytics products is required.
2. Is a Bachelor’s degree mandatory?
Yes, a Bachelor’s degree in Computer Science, Information Systems, or a related field is required.
3. What technical skills are most important?
Advanced SQL knowledge, query optimization, data modeling, and database expertise are critical.
4. Does the role include on-call responsibilities?
Yes, periodic on-call duties are part of the position.
5. Is this a remote position?
No, this is an in-office role in San Francisco, New York City, or London.
Apply link:
🚀 Apply Now | Technical Support Engineer (90K$–125K$) – New York, USA
