Specialist - Architecture

LTM

$90K — $130K *
Tampa, FL 33647In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7 years of experience in data engineering and large-scale data platforms.
  • Strong hands-on experience with Apache Flink, Iceberg, and Starburst Trino.
  • Proficiency in programming languages such as Python, Scala, or Java, with strong SQL skills.
  • Experience with cloud data services and distributed systems.
  • Familiarity with Kafka, Docker, Kubernetes, and data warehousing concepts.

Responsibilities

  • Build and operate real-time streaming pipelines using Apache Flink.
  • Design and manage Lakehouse architectures with Apache Iceberg.
  • Enable federated analytics using Starburst Trino.
  • Develop and optimize ETL/ELT pipelines using Python, Scala, or Java.
  • Integrate data platforms with AWS, Azure, or GCP services.
  • Tune performance across data pipelines, tables, and queries.
  • Ensure data quality, governance, monitoring, and reliability.
  • Contribute to platform architecture and mentor junior engineers.

Benefits

  • Opportunity to work in a cutting-edge cloud environment.
  • Engagement in innovative real-time data processing technologies.
  • Mentorship opportunities for professional development.
  • Collaboration with cross-functional teams in advanced analytics.
  • Potential for work-life balance in a vibrant Tampa location.
Full Job Description
Role description

Job Title: Senior data Engineer

Work Location : Tampa, Florida

Job Descriptions.

Senior Data Engineer to design and build scalable high performance data platforms for real-time and analytical workloads The role focuses on streaming lakehouse and federated query architectures using Apache Flink Apache Iceberg and Starburst Trino in a cloud environment

Key Responsibilities
  • Build and operate real-time streaming pipelines using Apache Flink
  • Design and manage Lakehouse architectures with Apache Iceberg
  • Enable federated analytics using Starburst Trino
  • Develop and optimize ETLELT pipelines using Python ScalaJ ava
  • Integrate data platforms with AWS AzureGCP services
  • Tune performance across pipelines tables and queries
  • Ensure data quality governance monitoring and reliability
  • Contribute to platform architecture and mentor junior engineers

Required Qualifications
  • 7 years in data engineering and largescale data platforms
  • Strong handson experience with Flink Iceberg and Trino
  • Proficiency in Python Scala or Java and strong SQL skills
  • Experience with cloud data services and distributed systems
  • Knowledge of Kafka Docker Kubernetes and data warehousing concepts
  • Preferred
  • Financial services experience
  • Cloud certifications
  • Exposure to Delta LakeHudi and Airflow

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