We are seeking a highly experienced and skilled Starburst Expert to join our dynamic data team. The ideal candidate will have over 10 years of experience in designing, implementing, and optimizing data solutions within large-scale, data-centric projects.
This role will be pivotal in leveraging Starburst (Trino/PrestoSQL) to enable high-performance analytics, federated querying, and efficient data access across diverse data sources. The successful candidate will be a thought leader, capable of driving technical strategy, mentoring junior team members, and ensuring the robust and scalable operation of our Starburst environment.
Responsibilities:
- Design & Architecture: Lead the design and architecture of Starburst-based data solutions, ensuring scalability, performance, and reliability for enterprise-level data platforms.
- Apache Iceberg Management: Design, implement, and manage data lakes utilizing Apache Iceberg tables with Starburst, optimizing for ACID transactions, schema evolution, time travel, and high-performance queries.
- Implementation & Optimization: Develop, implement, and optimize complex SQL queries and data pipelines using Starburst to extract, transform, and load (ETL/ELT) data from various sources.
- Performance Tuning: Proactively monitor, troubleshoot, and fine-tune Starburst clusters and queries to ensure optimal performance, resource utilization, and cost efficiency.
- Data Federation: Implement and manage data federation strategies using Starburst connectors to seamlessly integrate and query data across disparate systems (e.g., Data Lakes, RDBMS, NoSQL databases, Cloud Storage).
- Security & Governance: Collaborate with security and governance teams to implement robust data access controls, encryption, and compliance measures within the Starburst ecosystem.
- Mentorship & Leadership: Provide technical leadership and mentorship to data engineers and analysts, fostering best practices in Starburst usage, data modeling, and query optimization.
- Strategic Planning: Contribute to the long-term data strategy and roadmap, evaluating new features, technologies, and methodologies related to Starburst and the broader data ecosystem.
- Collaboration: Work closely with data scientists, business analysts, application developers, and other stakeholders to understand data requirements and deliver effective solutions.
- Documentation: Create and maintain comprehensive technical documentation for Starburst configurations, data models, query patterns, and operational procedures.
Qualifications:
- 10+ years of hands-on experience in data engineering, data warehousing, or big data analytics projects.
- Minimum of 3 years of direct experience with Starburst Enterprise (Trino/PrestoSQL) in a production environment, including configuration and knowledge in administration.
- Deep expertise in SQL, with advanced query writing and optimization skills specific to Starburst/Trino.
- Proven experience with Apache Iceberg, including table creation, schema evolution, time travel, and performance optimization when used with Starburst/Trino.
- Strong understanding of distributed systems and parallel processing architectures.
- Proficiency with various data connectors and their configuration within Starburst (e.g., S3, HDFS, Hive, Kafka, MongoDB).
- Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, ADLS, GCS, EMR, Athena, Databricks).
- Familiarity with data governance, metadata management, and data cataloging tools.
- Experience with scripting languages (Python) for data manipulation and automation.
- Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- Solid understanding of data warehousing concepts, data modeling (dimensional, 3NF), and ETL/ELT processes.
- Experience with large-scale data lakes and various file formats (Parquet, ORC, Avro).
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Education:
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Preferred Qualifications
- Certification in Starburst, Trino, or relevant cloud data platforms.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker) for connecting to Starburst.
- Familiarity with CI/CD practices for data pipelines and infrastructure as code.
- Experience in the financial services industry or other highly regulated environments.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
Irving Texas United States------------------------------------------------------
Primary Location Full Time Salary Range:
$125 760,00 - $188 640,00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Anticipated Posting Close Date:
feb 03, 2026------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 10+ years of hands-on experience in data engineering, data warehousing, or big data analytics projects.
- Minimum of 3 years of direct experience with Starburst Enterprise in a production environment.
- Deep expertise in SQL, with advanced query writing and optimization skills.
- Proven experience with Apache Iceberg, including table creation and performance optimization.
- Strong understanding of distributed systems and parallel processing architectures.
- Proficiency with various data connectors and their configuration within Starburst.
- Experience with cloud platforms (AWS, Azure, GCP) and their data services.
- Familiarity with data governance, metadata management, and data cataloging tools.
- Experience with scripting languages (Python) for data manipulation and automation.
- Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- Solid understanding of data warehousing concepts, data modeling, and ETL/ELT processes.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Strong verbal and written communication skills.
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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