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Senior Data Platform Engineer Jobs in Georgia (NOW HIRING)

Sr. Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Sr. Data Engineer Alpharetta, GA (Face to face required) Position type: W2 contract Job Functions ... Hands-on expertise with enterprise database platforms such as DB2, SQL Server, Oracle, and/or ...

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape ... Working knowledge of infrastructure underpinning data platforms, including infrastructure-as-code ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... Help evolve our data platform and tooling to improve performance, developer experience, and ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... Help evolve our data platform and tooling to improve performance, developer experience, and ...

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

As a senior member of the team, you'll work closely with engineers, analysts, product managers, and ... Help evolve our data platform and tooling to improve performance, developer experience, and ...

Data & AI Platform Engineer

Duluth, GA

$105K - $126K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Data & AI Platform Engineer

Brunswick, GA · On-site

$103K - $124K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Data & AI Platform Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Senior Data & ML Engineer

Alpharetta, GA

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... You will work closely with data scientists, backend engineers, product teams, and platform partners ...

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

As a Senior Data & ML Engineer, you will play a lead technical role in building and ... You will work closely with data scientists, backend engineers, product teams, and platform partners ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Senior Data & AI Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

... Senior Data & AI Engineer is responsible for designing, building, and scaling Meadows & Ohly ... Optimize platform performance, security, and scalability while establishing engineering best ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... As a Senior Data Engineer, you will be expected to work independently on client engagements, take ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... As a Senior Data Engineer, you will be expected to work independently on client engagements, take ...

Showing results 41-60

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:

Sr. Data Engineer

Accord Technologies Inc.

Alpharetta, GA • On-site

$111K - $134K/yr

Contractor

Re-posted 2 days ago


Job description

Sr. Data Engineer
Alpharetta, GA (Face to face required)
Position type: W2 contract

Job Functions/Duties and Responsibilities:
  • Solve complex engineering problems and lead system design and development activities.
  • Understand business processes, a bigger picture and core ideas behind the developed software.
  • Define engineering guidelines and quality control pipeline; perform code reviews.
  • Advocate and advance toward cutting edge engineering practices.
  • Working in the Agile development methodologies, collaborating with business and technology teams located globally.
  • Actively contribute and participate in sprint grooming and planning discussions, daily stand-ups, and Agile ceremonies
  • Work with various teams and stakeholders across geography and time zones.

Skills Required

  • 10 years of experience in data-focused roles.
  • Strong proficiency in developing and maintaining database objects, including stored procedures and functions.
  • Demonstrated experience in database design and development, advanced SQL/PL/SQL, and performance tuning (SQL Server preferred).
  • Hands-on expertise with enterprise database platforms such as DB2, SQL Server, Oracle, and/or Teradata.
  • Solid ETL and BI experience, including tools such as Informatica and Tableau or Power BI.
  • Excellent communication skills with the ability to partner effectively with both business users and IT teams across regions, and to lead delivery of IT outcomes.
  • Proven ability to collaborate with stakeholders and partners across geographies and time zones.
  • Strong growth mindset with a track record of personal excellence, collaboration, and continuous improvement.
  • Understanding of large-scale enterprise application requirements, including security controls, entitlements, and related governance considerations.
  • Experience working within Agile delivery methodologies (e.g., Scrum/Kanban).
  • Proficiency with Git and modern source control/development workflows (e.g., branching, code reviews, CI-friendly practices).
  • Strong computer science fundamentals, including scalable, resilient system design and sound engineering principles.
  • Hands-on experience building and maintaining BI dashboards using Tableau and/or Power BI.
  • Experience working with the Snowflake data platform (e.g., data modeling, performance considerations, and best practices).
  • Proven delivery experience in Agile environments (e.g., Scrum/Kanban), including iterative development and stakeholder collaboration.
  • Strong Python skills applied to data use cases, including:
  • Data engineering and automation (data extraction/transformation, process automation, database/API integrations; e.g., pandas, SQLAlchemy)
  • Analytics and reporting (data analysis, reusable workflows; e.g., pandas, NumPy)
  • ETL pipeline support (orchestration support, reusable utilities, and data quality validation/checks)
  • Working knowledge of database fundamentals, covering both relational and NoSQL technologies.
  • Basic familiarity with DevOps concepts and practices (e.g., CI/CD fundamentals, environment management, and deployment hygiene).