1

Data Optimizer Jobs in Georgia (NOW HIRING)

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Lead database tuning and performance monitoring efforts, including query optimization, indexing ... Strong expertise in data modeling techniques, including dimensional modeling, normalization, and ...

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

Experience with large scale data processing including cluster sizing, autoscaling, and cost optimization. * Familiarity with observability tools such as Spark UI, metrics, event logs, and Delta logs.

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

Experience with large scale data processing including cluster sizing, autoscaling, and cost optimization. Familiarity with observability tools such as Spark UI, metrics, event logs, and Delta logs.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Create and maintain optimal data pipeline to provide operational efficiency and meet other key business performance metrics. * Assemble large, complex data sets that meet functional / non-functional ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Reviews existing data systems and architectures to implement the identified areas for improvement and optimization. * DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Selecting features, building and optimizing classifiers using machine learning techniques * Data mining using state-of-the-art methods * Extending company's data with third party sources of ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Selecting features, building and optimizing classifiers using machine learning techniques * Data mining using state-of-the-art methods * Extending company's data with third party sources of ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Reviews existing data systems and architectures to implement the identified areas for improvement and optimization. * DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Lead the design, development, and optimization of forecasting models for: o Cash demand (branches ... Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large ...

Showing results 41-60

Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

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

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities in Georgia are hiring for Data Optimizer jobs?

Cities in Georgia with the most Data Optimizer job openings:

Infographic showing various Data Optimizer job openings in Georgia as of June 2026, with employment types broken down into 11% As Needed, and 89% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Architect

VHB

Atlanta, GA • On-site

$61.25 - $78.75/hr

Full-time

Re-posted 10 days ago


VHB rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 449 rated engineering


Job description

Overview

ABOUT THE POSITION

VHB is seeking a Data Architect to join our growing data team and play a key role in shaping and advancing our enterprise data strategy. In this role, you will lead the design and implementation of scalable data architectures that support critical business objectives while partnering with cross-functional teams to establish standards, drive architectural decisions, and optimize data infrastructure for future growth. This position offers the opportunity to influence strategic direction, provide technical leadership, and mentor junior team members.

This position offers hybrid options from any of VHB's offices, with work hours aligned to the EST time zone. Occasional travel, usually to our headquarters in Watertown, MA, is required.

Please note applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship, now or in the future.

Responsibilities

  • Design and implement conceptual, logical, and physical data models for enterprise applications, data warehouses, and analytics platforms.
  • Architect end-to-end data solutions, including data integration, storage, access patterns, and migration strategies.
  • Define and enforce data architecture standards, governance frameworks, and best practices across the organization.
  • Evaluate and recommend data technologies, tools, and platforms that align with business and technical requirements.
  • Collaborate with business stakeholders and technical teams to translate complex requirements into scalable data architectures.
  • Establish and maintain data lineage, metadata management, and data cataloging practices.
  • Design, implement, manage, and maintain databases that support enterprise applications and data analytics initiatives.
  • Optimize existing data architectures for performance, scalability, reliability, and cost efficiency.
  • Lead database tuning and performance monitoring efforts, including query optimization, indexing strategies, and resource utilization analysis.
  • Manage database security and permissions, including role-based access controls and compliance with internal security policies.
  • Plan and execute database upgrades, patching cycles, and platform enhancements while minimizing downtime.
  • Provide technical leadership and mentorship to junior data engineers and architects and participate in architectural reviews and system improvement initiatives.

Skills and Attributes

  • Strong expertise in data modeling techniques, including dimensional modeling, normalization, and denormalization.
  • Advanced proficiency in SQL and experience with multiple database technologies.
  • Hands-on experience with cloud data platforms, including AWS and/or Azure.
  • Knowledge of data governance frameworks, metadata management, and data quality practices.
  • Strong analytical and problem-solving skills with the ability to balance technical and business requirements.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Demonstrated ability to lead projects and mentor team members.
  • Advanced knowledge of Python and C# programming, preferably in the context of Azure Functions.
  • Experience building ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar orchestration tools.
  • Experience with SQL Server technologies, including SSIS, SSAS, SSRS, and T-SQL development.
  • Familiarity with modern data platforms such as Databricks is a plus.
  • Highly organized, self-motivated, and capable of managing multiple priorities independently.

Required Qualifications

  • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship, now or in the future.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Minimum of 3-5+ years of experience in data architecture, data engineering, or related technical roles.
  • Demonstrated experience designing and implementing enterprise data warehouses and data lakes.
  • Experience developing scalable data models and enterprise database solutions.
  • Hands-on experience with cloud-based data technologies and modern data integration tools.
  • Strong understanding of database administration, security, performance tuning, and optimization.
  • Proven ability to collaborate across technical and business teams to deliver enterprise data solutions.

Preferred Qualifications

  • Experience with modern data stack technologies, including Databricks.
  • Experience with SOC 2 compliance requirements and security frameworks.
  • Experience leading architectural reviews and enterprise-wide data initiatives.
  • Prior experience mentoring junior engineers, architects, or technical teams.
  • Experience designing data solutions that support advanced analytics and business intelligence initiatives.

Shortlisted candidates will be asked to complete a practical assessment.

We invite you to be part of a dynamic environment that fosters innovation, continuous learning, and collaboration. Apply today to make a significant impact on our expanding service offerings.

The base salary range for this position in Watertown, MA would be between $108,000 - $125,000.

The base salary range for this position in New York would be between $113,000- $130,000.

The base salary range for this position in the Washington DC area would be $108,000 - $125,000.

Offers will be determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities, and geographic location.

  

Building what's next, together.

Our people make the difference. We foster a technology-empowered, peopledriven, futureready culture where agility, innovation, and collaboration shape how we work every day.

 

When you join VHB, you'll find:

  • Meaningful work on complex projects with real community impact
  • A collaborative, inclusive culture that values curiosity and shared success
  • Support to grow your skills and lead through change
  • Learning and development supported by evolving tools and technologies, including AI
  • Best-in-class benefits and a flexible, hybrid work environment

We're growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what's next? Learn more about what sets our employee experience apart and connect with us.  

 

VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

#LI-KW1

#LI-Hybrid

Employment Type: FULL_TIME

What VHB employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom