Lead Cloud Data Engineer

Raymond James; Saint Petersburg (FL); Hybrid; USD 90,000 - 130,000; Full time

Job summary

An established industry player is seeking a Lead Cloud Data Engineer to join their innovative team. This pivotal role involves designing and optimizing data pipelines, ensuring data quality, and collaborating with diverse teams to meet business objectives. The ideal candidate will leverage their expertise in AWS services, particularly AWS Glue and Redshift, to drive impactful data solutions. This dynamic position offers the opportunity to mentor junior engineers and explore new technologies, all within a supportive hybrid work environment. If you're passionate about data engineering and eager to make a difference in the financial services sector, this role is perfect for you.

Qualifications

• 6-10 years of experience in cloud data engineering with a focus on AWS.
• Expertise in building ETL pipelines and data integration.

Responsibilities

• Design and develop scalable ETL pipelines using AWS Glue and PySpark.
• Monitor and troubleshoot data pipelines for reliability and efficiency.

Skills

AWS Cloud Services

PySpark

Amazon Redshift

Python

Terraform

Data Warehouse

Big Data concepts

Networking

Financial Services Industry knowledge

Education

Bachelor’s in Computer and Information Science

Tools

AWS Glue

Kafka

AirFlow

SageMaker

EMR

Athena

Lake Formation

DynamoDB

Aurora

Job description

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 location: St. Petersburg, FL / Memphis, TN / Denver, CO / Southfield, MI.

Job Description:

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.

Responsibilities:

• 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.

Skills:

• Expert level experience with AWS Cloud Services is preferred; knowledge of other Cloud Providers is a plus.
• Experience and understanding of AWS Cloud Services components like Redshift, S3, Kafka, Glue, AirFlow, SageMaker, EMR, Athena, Lake Formation, DynamoDB, Aurora, VPC, IAM and many other Cloud Service modules.
• Working experience in Python is preferred; Java and other languages are a plus.
• Nice to have Terraform or other Infrastructure as Code experience.
• Knowledge and experience with Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns.
• Solid understanding of networking, infrastructure, cost management, SRE concepts.
• Creating patterns for adoption from scratch and being able to document and articulate coding and architecture standards for others to follow.
• Performance tuning and optimization of code and infrastructure.
• Creating a culture of continuous improvement, performs code reviews and makes recommendations for improvement or streamlining patterns.
• 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.

Ability To:

• Identify and understand issues, problems and opportunities for automation.
• Good communication and organization skills that clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
• Use effective approaches for choosing a course of action or developing appropriate 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; remains current with developments and trends in areas of expertise.
• Develop and use collaborative relationships to facilitate the accomplishment of work goals.
• Make internal and external clients and their needs a primary focus of actions; develop and sustain productive client relationships.

Certifications:

Preferred, Not Required:

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

Education:

Bachelor’s: Computer and Information Science (Required)

Work Experience:

General Experience - 6 to 10 years

Travel:

Less than 25%

Workstyle:

Hybrid

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.

We Expect Our Associates At All Levels To:

• Grow professionally and inspire others to do the same.
• Work with and through others to achieve desired outcomes.
• Make prompt, pragmatic choices and act with the client in mind.
• Take ownership and hold themselves and others accountable for delivering results that matter.
• Contribute to the continuous evolution of the firm.

Seniority Level:

Mid-Senior level

Employment Type:

Full-time

Job Function:

Information Technology, Engineering, and Analyst

Industries:

Financial Services, Banking, and Investment Banking