The company is hiring an application development lead for a key initiative within its data strategy.
You will need deep, hands-on experience with the Starburst data federation and virtualization platform.
This is a Technology role in the Applications Development job family.
Responsibilities
Act as the main technical contact between analytics consumers and the owners of upstream data sources.
Lead end-to-end technical onboarding of new data catalogs into Starburst using its native Hive/Iceberg, Oracle and S3 connectors.
Set operational rules, including resource and query limits, so federated queries do not slow critical transactional databases.
Work with upstream data stewards to keep business glossaries, data dictionaries, lineage mappings and classification tags accurate.
Build and govern central access control using role-based access control (RBAC) and row-level filters in Apache Ranger.
Set onboarding standards for Hive/Iceberg tables, covering partitioning, sort keys, Parquet or ORC file formats and statistics collection.
Check and tune predicate, projection and join pushdown on newly onboarded sources to keep query federation fast.
Forecast capacity, review query cost and apply optimizations such as materialization to get the most throughput from the cluster.
Work with enterprise technology enablement teams, data architects and domain engineers to design, build and publish standard, reusable data products on Starburst using open formats.
Connect data products to enterprise catalogs, governance marketplaces and BI tools so they are easy to find, lineage is automated and access stays governed.
Requirements
At least 2 years of hands-on work with the Starburst platform.
Solid knowledge of Trino architecture, Apache Ranger policies, Starburst data products and the Iceberg table format.
At least 6 years of hands-on application development.
Good grasp of software architecture and distributed system design, including microservices and event-driven architecture.
Extensive experience with relational (Oracle) and NoSQL (MongoDB) databases, including advanced SQL.
Experience with big data tools such as Apache Spark, Hadoop and Kafka, plus data warehousing.
Proven ability to design, build and secure RESTful APIs and integration patterns.
Hands-on work with CI/CD systems such as Jenkins, GitHub Actions or Bitbucket Pipelines for automated deployment.
Highly experienced with Unix-based systems and shell scripting.
Strong background in AWS, Azure or GCP, including Docker and contributing to Kubernetes orchestration.
Advanced troubleshooting, debugging and performance tuning for distributed systems.
Skilled with automated testing frameworks such as Pytest and unittest, and with TDD.
Solid understanding of secure coding and application security, including the OWASP Top 10.
Expert in Git (Bitbucket, GitHub), including advanced branching and pull request workflows.
Proven ability to lead and mentor a global data engineering and platform operations team across multiple time zones.
Hands-on experience with AI tools such as Copilot, Devin and Claude, Gemini or GPT for development workflows.
A bachelor's degree or equivalent experience.
A master's degree is preferred.
Desirable: deep understanding of and practical experience with Agile or Scrum methodologies.
Desirable: exceptional ability to manage priorities and tasks.
Desirable: strong analytical, logical, systems thinking and critical analysis skills.
Desirable: excellent written and verbal communication for diverse audiences.
Desirable: ability to work independently, take ownership and collaborate effectively in global teams.
Desirable: polyglot programming exposure, such as Java.
Desirable: relevant cloud or industry certifications.
Desirable: experience in banking domains such as finance, forecasting and treasury.
Conditions
Full-time role based in Tampa, Florida, United States.
Base pay range for this role: $113,840.00 to $170,760.00.
Other job-related duties may be assigned as required.
Applications close October 13, 2026.
The company is an equal opportunity employer; automated tools and AI help match skills to roles, but people make every hiring decision.
Benefits
Possible discretionary and formulaic incentive and retention awards for eligible employees.
Medical, dental and vision coverage.
401(k) plan.
Life, accident and disability insurance.
Wellness programs.
Paid vacation, sick leave and holidays.
Offerings may vary by jurisdiction, job level and date of hire.