Lead Cloud Data Engineer

Job Description Summary

We are seeking a highly skilled Lead Cloud Data Engineer to join our team. The ideal candidate will have extensive experience with AWS Glue, PySpark and Amazon Redshift. You will be responsible for designing, implementing and optimizing data pipelines, ensuring data quality and collaborating with cross‑functional teams to meet business needs.

This position will follow our hybrid work model; we expect the selected candidate to be in office 2–3 days a week (10–12 days a month) at the following office locations:
St. Petersburg, FL / Memphis, TN / Denver, CO / Southfield, MI.

• Design and develop scalable ETL pipelines using AWS Glue and PySpark.
• Integrate data from various sources into Amazon Redshift, ensuring data quality and consistency.
• Optimize the performance of data processing jobs and Redshift queries.
• Deploy infrastructure as code (IaC) with Terraform.
• Monitor and troubleshoot data pipelines to ensure reliability and efficiency.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Ensure compliance with security policies and regulations.
• Document data workflows and best practices.
• Mentor and guide junior engineers on the team.
• Continuously explore new AWS services and technologies to improve existing solutions.

• Expert level experience with AWS Cloud Services is preferred; knowledge of other Cloud Providers is a plus.
• Experience with AWS services such as Redshift, S3, Kafka, Glue, Airflow, Sage Maker, EMR, Athena, Lake Formation, Dynamo
  
  DB, Aurora, VPC, IAM and many others.
• Working experience in Python is preferred;
  Java and other languages are a plus.
• Nice to have Terraform or other Infrastructure as Code experience.
• Knowledge of Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns.
• Solid understanding of networking, infrastructure, cost management and SRE concepts.
• Creating patterns for adoption from scratch and documenting coding and architecture standards.
• Performance tuning and optimization of code and infrastructure.
• Creating a culture of continuous improvement, performing code reviews and recommending improvements.
• Relevant experience in various database platforms, ETL solutions/products, infrastructure, ETL architecture and on‑prem or cloud services.
• Financial Services Industry knowledge is a plus.

• Identify and understand issues, problems and opportunities for automation.
• Communicate and organize effectively through a variety of media to individuals or groups.
• Choose the appropriate course of action or develop suitable solutions; recommend or take action that is consistent with available facts, constraints and probable consequences.
• Demonstrate a satisfactory level of technical and professional skill or knowledge in position‑related areas; remain current with developments and trends.
• Develop and use collaborative relationships to facilitate the accomplishment of work goals.
• Place internal and external clients and their needs as a primary focus of actions; develop and sustain productive client relationships.

• AWS Certified Solutions Architect
• AWS Certified Big Data
• AWS Certified Data Analytics
• AWS Certified Developer
• AWS Certified Machine Learning

Bachelor’s:
Computer and Information Science (Required)

General Experience – 6 to 10 years

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave);

and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit

The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.