Specialist - Architecture

LTM

$100K — $130K *
Tampa, FL 33647In-Person
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7 years in data engineering and large-scale data platforms
  • Strong hands-on 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

Responsibilities

  • Build and operate real-time streaming pipelines using Apache Flink
  • Design and manage lake house 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, GCP services
  • Tune performance across pipelines, tables, and queries
  • Ensure data quality, governance, monitoring, and reliability
  • Contribute to platform architecture and mentor junior engineers

Benefits

  • Opportunity to work on cutting-edge technologies in big data
  • Collaborative environment with mentoring opportunities
  • Exposure to diverse cloud services
  • Work in a fast-paced, innovative setting within financial services
  • Potential for professional growth and advancement opportunities
Full Job Description
Role description

Job Title: Big data Pyspark Developer(Flink, Iceberg)

Work Location : Tampa, Florida

Job Summary
  • Senior Data Engineer to design and build scalable high performance data platforms for real time and analytical workloads The role focuses on streaming lake house 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 lake house architectures with Apache Iceberg
  • Enable federated analytics using Starburst Trino
  • Develop and optimize ETLELT pipelines using Python Scala Java
  • Integrate data platforms with AWS Azure GCP 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 hands-on 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 Lake Hudi and Airflow

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