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Data Infrastructure Manager Jobs in Georgia (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

Deploy data infrastructure with Terraform ; create and manage CI/CD pipelines for workflow automation. * Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce ...

Cargill

Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and ... STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect ...

Cargill

Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and ... STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect ...

Cargill

Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and ... STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect ...

Koch Industries

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Team The Georgia Pacific Data Platform team builds, manages, & operates centralized products ... Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code ...

Speria

Principal Data Architect

Atlanta, GA · On-site

... agents. • Manage cloud-native data infrastructure including Azure Data Factory, Event Hubs, Blob Storage. • Prototype agentic AI workflows using orchestration frameworks. Qualifications

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA · On-site

$100 - $130/hr

You will build and operate the data infrastructure that connects our marketing automation platform (HubSpot), CRM (Salesforce), data warehouse (Databricks), licensing system, payment platform, and ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA

$111K - $134K/yr

You will build and operate the data infrastructure that connects our marketing automation platform (HubSpot), CRM (Salesforce), data warehouse (Databricks), licensing system, payment platform, and ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA · On-site

$111K - $134K/yr

You will build and operate the data infrastructure that connects our marketing automation platform (HubSpot), CRM (Salesforce), data warehouse (Databricks), licensing system, payment platform, and ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA · On-site

$111K - $134K/yr

You will build and operate the data infrastructure that connects our marketing automation platform (HubSpot), CRM (Salesforce), data warehouse (Databricks), licensing system, payment platform, and ...

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Data Infrastructure Manager information

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

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

The most popular types of Data Infrastructure jobs in Georgia are:

What are popular job titles related to Data Infrastructure Manager jobs in Georgia?

For Data Infrastructure Manager jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Manager jobs in Georgia look for?

The top searched job categories for Data Infrastructure Manager jobs in Georgia are:

What cities in Georgia are hiring for Data Infrastructure Manager jobs?

Cities in Georgia with the most Data Infrastructure Manager job openings:

Data Infrastructure Manager jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 26 days ago

Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.

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