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Data Integration Jobs in Georgia (NOW HIRING)

Accenture

OneStream Integration Lead

Atlanta, GA · On-site

You ensure data flows accurately across the financial technology landscape while collaborating ... Perform integration testing, data reconciliation, and validation across financial periods.

Circet USA

Warehouse & Delivery Associate

Orlando, FL · On-site

$20 - $29/hr

Company Overview Circet USA is a leading provider of telecommunications and data center infrastructure services in North America, and we're looking for talented professionals to join our team. We ...

innovitusa

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will have strong experience with Azure data services, ETL development, data warehousing, and data integration. Required Skills: * 6+ years of Data Engineering experience * Azure ...

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How much do data integration jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data integration in Georgia is $43.64, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $49.13 per hour, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

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

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

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

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

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

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

What cities in Georgia are hiring for Data Integration jobs?

Cities in Georgia with the most Data Integration job openings:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $90,772 per year, or $43.6 per hour.

Technology Architect | Data Management - Data Integration | Talend

Atlanta, GA • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

$60.50 - $78/hr

Full-time

Re-posted 3 days ago

Job description

Job Title: Senior Data Architect
Work Location : AtlantaGA30339
XXX
Contract duration: 6
Target Start Date: 07 Jul 2026
Does this position require Visa independent candidates only? YES
**hybrid work set-up**
Job Details:
Must Have Skills
Data Architect
ETL using Snowflake or Talend
Ability to communicate effectively
Nice to have skills
Data Architect
ETL using Snowflake or Talend
Detailed Job Description
Key Responsibilities
Data Architecture & Strategy
Define and own the end-to-end data architecture for the marketing technology ecosystem
Establish architectural standards for modeling, storage, integration, and consumption of marketing data
Design scalable, modular architectures supporting customer 360, omnichannel engagement, and real-time personalization
Evaluate and recommend tools, platforms, and technologies aligned with business and enterprise strategy
Data Modeling Leadership
Provide guidance and governance on conceptual, logical, and physical data modeling practices
Oversee the design of enterprise-level customer data models (identity resolution, segmentation, attribution)
Ensure consistency and reusability of data models across domains and platforms
Mentor data modelers and engineers on best practices
MarTech Ecosystem Architecture
Architect integrations across platforms such as Snowflake, Adobe Experience Cloud, Salesforce, CDPs, and downstream activation systems
Define canonical data models, data contracts, and integration patterns across systems
Design batch and real-time data pipelines (including event-driven architectures)
Ensure interoperability between marketing, enterprise data, and digital platforms
Data Governance, Privacy & Compliance
Establish data governance frameworks for marketing data, including metadata, lineage, and stewardship
Ensure compliance with privacy regulations (GDPR, CCPA) and consent management practices
Define policies for data quality, security, and lifecycle management
Partner with security and governance teams to operationalize standards
Analytics & Activation Enablement
Design data architecture supporting advanced analytics, AI/ML, and personalization use cases
Enable unified access layers (semantic models, data marts) for analytics and BI tools
Ensure data readiness for segmentation, attribution modeling, and campaign optimization
Support real-time and near-real-time activation use cases
Stakeholder & Leadership Collaboration
Partner with marketing, product, engineering, and enterprise architecture leadership to align technology strategy
Translate business vision into scalable and sustainable data architecture
Lead architecture reviews, design governance forums, and decision-making processes
Influence roadmap planning and investment priorities
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field
7+ years of experience in data architecture, data engineering, or large-scale data platform design
Deep expertise in:
Data architecture patterns (lakehouse, data warehouse)
Data modeling methodologies (dimensional, Data Vault, domain-driven design)
Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
Strong experience designing MarTech ecosystems (Adobe, Salesforce, CDPs, etc.)
Expertise in designing large-scale data integration and pipeline architectures
Strong understanding of marketing data concepts (customer identity, attribution, segmentation, personalization)
Preferred Qualifications
Architecture experience with Customer Data Platforms (CDPs)
Knowledge of real-time and streaming architectures (Kafka, event-driven systems)
Experience with orchestration and transformation tools (Airflow, dbt, Matillion, etc.)
Familiarity with API-first integration patterns and microservices-based architectures
Experience with data privacy, consent, and identity resolution frameworks
Cloud certifications (AWS, Azure, GCP) or enterprise architecture certifications (e.g., TOGAF)
Key Skills
Enterprise data architecture and system design
MarTech ecosystem expertise
Strategic thinking and technology leadership
Data governance and compliance
Cross-functional collaboration and executive communication
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Data Architect
ETL using Snowflake or Talend
Ability to communicate effectively with the clients and must drive the project from Onshore and meet the deadlines efficiently
Interview Process (Is face to face required?)
Yes
Any additional information you would like to share about the project specs/ nature of work
Project Code: Child code for Marketing Mysore with NSO

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