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Data Infrastructure Manager Jobs in Atlanta, GA (NOW HIRING)

SupplyHouse

Cloud Infrastructure Engineer

Atlanta, GA

$20K - $25K/yr

If you are experienced in cloud infrastructure operations, Kubernetes administration ... Manage access control, IAM configs, and user permissions <li data-leveltext="๏‚ท" data-font="Symbol ...

Speria

Principal Data Architect

Atlanta, GA ยท On-site

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

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA ยท 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

$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 ยท 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 ...

NAVA Software Solutions

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... designing infrastructure for greater scalability, etc. * Define indicators of performance and ... Bachelor's Degree required (Computer Science, MIS, or Information Management preferred) * ETL ...

Mwe

Pricing Data Engineer

Atlanta, GA ยท On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Develop and manage data pipelines and queries to support pricing analysis and reporting * Modernize ...

GEI Consultants

Data Engineer

Atlanta, GA ยท On-site

$90K - $150K/yr

... manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns. * Build and maintain data stores and indexing infrastructure ...

GEI Consultants

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns. * Build and maintain data stores and indexing infrastructure ...

BeyondTrust

Sr Data Engineer

Johns Creek, GA ยท On-site +1

$98K - $133K/yr

... data infrastructure that powers all analytics products running on our SaaS platform. Leverage AWS expertise to manage a wide array of cloud compute services like AWS Lambda as well as managing ...

BeyondTrust

Sr Data Engineer

Johns Creek, GA ยท On-site

$98K - $133K/yr

... data infrastructure that powers all analytics products running on our SaaS platform. Leverage AWS expertise to manage a wide array of cloud compute services like AWS Lambda as well as managing ...

TRC Talent Solutions

Data & Reporting Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... modernize the infrastructure behind institutional client reporting? TRC Talent Solutions is hiring a Data & Reporting Engineer for a growing investment management firm in Atlanta, GA . The ...

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All JobsData Infrastructure JobsData Infrastructure Manager JobsData Infrastructure Manager Jobs in Atlanta, GA

Data Infrastructure Manager information

See Atlanta, GA salary details

$77.4K

$148.1K

$190.4K

How much do data infrastructure manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data infrastructure manager in Atlanta, GA is $148,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $189,400.00 per year, depending on experience, location, and employer.

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 Atlanta, GA?

The most popular types of Data Infrastructure jobs in Atlanta, GA are:

What are popular job titles related to Data Infrastructure Manager jobs in Atlanta, GA?

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

What job categories do people searching Data Infrastructure Manager jobs in Atlanta, GA look for?

The top searched job categories for Data Infrastructure Manager jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Infrastructure Manager jobs?

Cities near Atlanta, GA with the most Data Infrastructure Manager job openings:

Data Infrastructure Manager jobs near you

Data & Reporting Engineer - Building the Infrastructure Behind Client Reporting

EARNEST Partners

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Full-time

Re-posted 9 days ago

Job description

About the Firm

We are a global investment management firm reimagining what the next-generation investment organization should look like. As artificial intelligence, automation, data systems, and evolving market structure reshape the industry, we believe the traditional asset management operating model is due for reinvention.

We are investing aggressively in the people, infrastructure, workflows, and technologies that will define that future model — one that is more intelligent, adaptive, scalable, and integrated across investing, trading, operations, and decision-making.

Data and reporting sit at the operational core of that evolution. The firm's ability to communicate performance, deliver institutional-grade client reporting, and act on information depends on the quality, speed, and integrity of our data infrastructure — a genuine competitive advantage.

This is an environment for builders, problem-solvers, and intellectually curious operators who want to help shape the future state of the investment industry.

THE OPPORTUNITY

We are seeking a Data & Reporting Engineer to own the full lifecycle of institutional client reporting — from data validation and pipeline management through the production and delivery of client-facing performance packages.

This role sits at the intersection of data engineering and institutional reporting. You will work across our data platform and reporting infrastructure to ensure clients receive accurate, timely, well-structured performance information — and that the systems producing it keep improving.

The ideal candidate understands both the technical plumbing behind data and what that data ultimately communicates to a client. You are equally comfortable writing a SQL validation query and redesigning a report layout that makes attribution easier to read. You want to improve the process, not just execute it.

This opportunity is intended for someone who wants to build more than a career. It is for an ambitious professional who wants to help build an enduring Fintech company.

KEY RESPONSIBILITIES
  • Redesign and automate reporting workflows. Map monthly, quarterly, and annual cycles, identify manual steps and bottlenecks, and build auditable replacements in Python and SQL — questioning whether steps should exist at all, not just improving them in place.
  • Build and maintain pipelines connecting source systems (portfolio, performance, risk) to client reporting outputs, with single-source-of-truth alignment across teams.
  • Deploy AI-assisted tools to accelerate report production — data validation, exception-flagging, and narrative drafting.
  • Own end-to-end production of client deliverables — performance attribution, account summaries, consultant reporting packages — accountable for accuracy and on-time delivery.
  • Maintain reporting databases and reference tables, resolving discrepancies and enforcing data-governance standards.
  • Design client report templates and presentation formats for clarity and usability.
  • Partner with Investment, Product Management, Technology, and Compliance teams to gather requirements, fulfill custom client reporting requests, and coordinate cross-functional delivery.
WHAT EXCEPTIONAL CANDIDATES BRING
  • Experience in data, analytics, or reporting within financial services, asset management, or a similarly data-intensive environment.
  • Hands-on proficiency in SQL and Python for data extraction, validation, transformation, and workflow automation, at production-grade level rather than ad hoc queries.
  • Familiarity with investment data concepts (performance, attribution, positions, risk) and an understanding of how data integrity failures affect what clients see and how they interpret it.
  • Comfort working across reporting and data visualization tools, including AI-native environments, and a bias toward adopting better approaches over established ones.
  • Exposure to financial data platforms such as FactSet, Bloomberg, FIS, or similar, with comfort navigating the messiness of real-world data environments.
  • Strong analytical mindset with the ability to identify inefficiencies, evaluate tradeoffs, and propose solutions rather than surface problems.
  • Clear written and verbal communication, with the ability to translate technical findings into plain language for investment, operations, and client-facing stakeholders.

Experience with workflow orchestration, ETL tooling, or AI-assisted automation is a plus — but curiosity, adaptability, and a learning orientation matter more than any single technical skillset.

CULTURE & ENVIRONMENT

We operate in a high-accountability environment where the work is consequential. We value individuals who take ownership, communicate proactively, and follow through consistently.

We are particularly interested in people energized by change: those who want to rethink established processes, experiment thoughtfully with new technologies, and help shape how a modern investment organization operates.

This is not simply a maintenance role within an established framework. It is an opportunity to help build and evolve the future operating model of the firm.

We offer a competitive total compensation package, including base salary, annual performance bonus, and comprehensive benefits. Compensation will reflect experience, capabilities, and the level of ownership and impact the role carries, and will be discussed in detail during the interview process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.