10 months ago
Base Salary
$126k - $189k/yr
Responsibilities
- Lead the design and architecture of scalable, reliable Starburst-based enterprise data solutions.
- Design, implement, and manage Apache Iceberg data lakes, including schema evolution, time travel, ACID transactions, and query optimization.
- Develop and optimize SQL queries and ETL/ELT data pipelines using Starburst.
- Monitor, troubleshoot, and tune Starburst clusters and queries for performance, resource utilization, and cost efficiency.
- Implement data federation across data lakes, relational databases, NoSQL databases, and cloud storage using Starburst connectors.
- Collaborate on data access controls, encryption, governance, metadata management, and compliance measures.
- Provide technical leadership and mentorship to data engineers and analysts.
- Contribute to data strategy, technology evaluation, documentation, and operational procedures.
- Partner with data scientists, business analysts, application developers, and other stakeholders to deliver data solutions.
Requirements
- 10+ years of hands-on experience in data engineering, data warehousing, or big data analytics projects.
- At least three years of direct production experience with Starburst Enterprise, including configuration and administration.
- Advanced SQL query writing and optimization skills with Starburst or Trino.
- Proven Apache Iceberg experience, including table creation, schema evolution, time travel, and performance optimization.
- Strong understanding of distributed systems, parallel processing, data warehousing, data modeling, and ETL/ELT processes.
- Experience configuring data connectors such as S3, HDFS, Hive, Kafka, and MongoDB.
- Experience with AWS, Azure, GCP, and associated data services such as S3, ADLS, GCS, EMR, Athena, and Databricks.
- Experience with large-scale data lakes and Parquet, ORC, and Avro file formats.
- Proficiency with Python for data manipulation and automation.
- Knowledge of Docker and Kubernetes is a plus.
- Strong analytical, problem-solving, verbal communication, and written communication skills.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- Preferred qualifications include Starburst, Trino, or cloud data platform certification; Tableau, Power BI, or Looker experience; CI/CD and infrastructure-as-code familiarity; and experience in financial services or other highly regulated environments.
Benefits
- Full-time position based in Irving, Texas.
- Benefits may include medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid time off may include vacation, sick leave, and paid holidays.
- Benefits and offerings may vary by jurisdiction, job level, and date of hire.
Tech Stack
Categories
Data Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.