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Senior Data Platform Engineer Jobs in Georgia (NOW HIRING)

Data Platform Engineer

Atlanta, GA ยท On-site +1

$145K - $175K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning ...

Data Platform Engineer

Atlanta, GA ยท On-site

$145K - $175K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning ...

Data Platform Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform ... You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform ... You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform ... You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a ...

Senior Data & AI Platform Engineer

Atlanta, GA ยท On-site

$64.75 - $86.50/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery ...

Senior Data & AI Platform Engineer

Duluth, GA ยท On-site

$62 - $82.75/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery ...

Senior Data & AI Platform Engineer

Brunswick, GA ยท On-site

$60.75 - $81.25/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery ...

Senior Data Engineer

Atlanta, GA ยท On-site

$160K - $170K/yr

Design, build support, and expand our Databricks cloud data platform for the business to enhance ... As a senior data engineer in a squad of data engineers, take input on business requirements, refine ...

GCP Data Platform Engineer

Atlanta, GA ยท Hybrid

$62K - $72K/yr

About The Role We are building a hybrid data platform that bridges an on-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end This role ...

GCP Data Platform Engineer

Atlanta, GA ยท Hybrid

$105K - $115K/yr

About The Role We are building a hybrid data platform that bridges an on-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end This role ...

GCP Data Platform Engineer

Atlanta, GA ยท Hybrid

$85K - $95K/yr

About The Role We are building a hybrid data platform that bridges an on-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end This role ...

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Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Georgia?

The most popular types of Data Platform Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Data Platform Engineer jobs?

Cities in Georgia with the most Senior Data Platform Engineer job openings:

Senior Data Platform Developer - AI Platform

Geotab

Atlanta, GA โ€ข On-site

Other

Medical, Dental, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Who we are:
Geotab is a global leader in IoT and connected transportation and certified "Great Place to Work ." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace , offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you!
What you'll do:
As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.
How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role.
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as Google Cloud Platform, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
This posting is for an existing vacancy.
Why job seekers choose Geotab
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.