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Data Architect Jobs in Decatur, GA (NOW HIRING)

Data Architect

Dunwoody, GA

$63.25 - $81.25/hr

Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes. * Experience designing or supporting data pipelines optimized for AI/ML workloads, including ...

New

Senior Data Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Join us as an Senior Data Architect to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in Data ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Data Architect Location: Atlanta, GA Role: Full Time Mode: On-Site Accepting H1B Transfer cases This role is a hands-on technical SME opportunity who will be designing software and services at scale ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Beazer Homes is seeking a Data Architect who will design, develop, and maintain integration solutions using the MuleSoft Anypoint Platform. The role involves creating and managing APIs, ensuring ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Role: Data Architect Location: Atlanta, GA Duration: Full Time Mode: On-Site ( Atlanta, GA) Accepting H1B transfer cases This role is a hands-on technical SME opportunity who will be designing ...

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

Data Architect (Big Data | Cloud | Governance) Location: Georgia, USA (Hybrid / Onsite as per business needs) Job Type: Full-Time / Direct Hire Experience: 12+ Years Compensation: $150K-$170K ...

They are seeking a Principal Data Architect to join their Global Data Architecture team, responsible for driving data architecture capabilities and ensuring alignment with architecture standards and ...

Principal Data Architect

Atlanta, GA · Hybrid

$170K - $180K/yr

The Data Architecture Team is seeking candidates who innovate, operate effectively in an agile environment, challenge the status quo, and are driven to succeed. Your Role: We're seeking a Principal ...

Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions ...

Principal Data Architect

Atlanta, GA · On-site

$170K - $180K/yr

The Data Architecture Team is seeking candidates who innovate, operate effectively in an agile environment, challenge the status quo, and are driven to succeed. Your Role: We're seeking a Principal ...

Big Data Architect

Atlanta, GA

$61.25 - $78.75/hr

Big Data Architect Duration: 6+ months Location: Atlanta, GA, 30305 Must have extensive experience with Hadoop, Spark, and Python! Great communication is required, these Architects will be ...

Snowflake Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Managing end-to-end data architecture, from designing the technical architecture, and developing the application to finally testing and implementing the proposed solution. Planning and execution of ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Architect Location: Atlanta GA - Hybrid / Remote also ok Duration: 6-12 months * 10+ years of experience in Data warehouse architecture, ETL architecture * 8+ years of experience in ...

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Data Architect information

See Decatur, GA salary details

$10

$68

$92

How much do data architect jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for data architect in Decatur, GA is $68.32, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

What are Data Architects?

Data Architects are IT professionals responsible for designing, creating, and managing an organization's data infrastructure. They develop blueprints for data management systems to integrate, centralize, and maintain data efficiently and securely. Data Architects ensure that data is accessible, reliable, and meets the needs of the business while adhering to industry standards and compliance requirements. Their work often involves collaborating with database administrators, data engineers, and business stakeholders.

How does a Data Architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What Is a Data Architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

What job categories do people searching Data Architect jobs in Decatur, GA look for? The top searched job categories for Data Architect jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Architect jobs? Cities near Decatur, GA with the most Data Architect job openings:
Infographic showing various Data Architect job openings in Decatur, GA as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,111 per year, or $68.3 per hour.

$63.25 - $81.25/hr

Other

Posted 2 days ago


Job description

Only candidates local to Dunwoody and surrounding areas will be considered

REQUIRED EXPERIENCE

  • Databricks experience (required) strong working proficiency with 2 4+ years strongly preferred.
  • Deep AWS data ecosystem experience, including design and hands-on engineering with structured, unstructured, relational, and NoSQL data.
  • Database expertise in Oracle and PostgreSQL including schema design, indexing, and performance tuning.
  • Strong data modeling skills; ability to design optimal models and produce professional ER diagrams.
  • Near-expert experience optimizing databases for performance and scalability.
  • Strong understanding of multi-tenant architectures, including schema isolation and workload management.
  • Experience with both OLTP and OLAP systems, including modern data warehousing and ETL/ELT patterns.
  • Experience with CDC, data streaming, and queuing systems (e.g., Kafka, Kinesis, Pulsar).
  • Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes.
  • Experience designing or supporting data pipelines optimized for AI/ML workloads, including feature engineering, vector storage, model-ready datasets, or integration with AI platforms (e.g., SageMaker, Databricks ML, or similar).


PREFERRED QUALIFICATIONS

  • Experience building data lakes that support AI or advanced analytics.
  • Experience designing data architectures that feed or support AI/ML models.
  • Previous ownership of enterprise data strategy or acting as the primary data expert within an organization.
  • Bachelors in Computer Science or related IT degree, preferred Master's Degree

KEY RESPONSIBILITIES

  • Architect, design, and optimize enterprise data solutions across AWS environments (structured, unstructured, relational, and NoSQL sources).
  • Design logical and physical data models, including ER diagrams, dimensional models, and multi-tenant schemas.
  • Lead performance tuning and optimization efforts for Oracle and PostgreSQL databases.
  • Define and implement OLTP and OLAP architectures, including data warehousing and ETL/ELT best practices.
  • Build and support real-time data streaming solutions (including CDC, queuing technologies like Kafka, and event-driven pipelines).
  • Enable near real-time delivery of data changes directly to customers for consumption within their own data lakes.
  • Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform.
  • Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well-governed data systems.
  • Establish standards, best practices, and architectural patterns for enterprise data management.

(Preferred) Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models