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Sr Data Modeler Jobs in Georgia (NOW HIRING)

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Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Position Summary The Senior Data Architect is responsible for defining and evolving scalable ... Essential Duties and Responsibilities Data Architecture and Canonical Modeling · Define scalable ...

Electrical BIM Modeler | Revit| Mission Critical l Construction Join Ace Electric - Build the Future with a Top Electrical Contractor At Ace Electric, we believe our success starts with our people.

Senior Data Architect

Atlanta, GA · Hybrid

$64.75 - $86.50/hr

Senior Data Architect - Build Your Career with Purpose JoinCoreforceand use yourdata ... Data Architecture and Canonical Modeling * Define scalable, canonical data models that support ...

Senior Data Architect

Atlanta, GA · On-site

$150K - $160K/yr

Senior Data Architect - Build Your Career with Purpose Join Coreforce and use your data architect ... Data Architecture and Canonical Modeling * Define scalable, canonical data models that support ...

Sr Data Architect - Snowflake

Atlanta, GA · On-site

$64.75 - $86.50/hr

We are looking for Sr Data Architect - Snowflake in Boston · 12-15+ yrs Snowflake Architect with Coalesce, HVR & Python expertise · Strong in Data Platform Design, Data Modeling & ELT pipelines · ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Develop data models top optimize and improve work of e-commerce functions * Understand the flow of ...

Sr Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve ...

... data and ad-hoc requests. * Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and development. Develop internal models and support solution development for Tokio ...

... data and ad-hoc requests. * Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and development. Develop internal models and support solution development for Tokio ...

... data and ad-hoc requests. * Catastrophe Model Development: Apply expertise in catastrophe risk modeling research and development. Develop internal models and support solution development for Tokio ...

Location - Alpharetta, GA SENIOR DATA ARCHITECT & MODELER (Hands on) Responsibilities: * An expert to deliver a world class data architecture to an enterprise that establishes robust data governance ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions ... Lead the design of logical data models and implement optimized physical database structures

We're looking for a Senior Data Developer to design and build scalable data integration solutions ... Lead the design of logical data models and implement optimized physical database structures

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)

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Sr Data Modeler information

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

A Sr Data Modeler needs expertise in data modeling concepts, database design, and a strong grasp of SQL, typically backed by a degree in computer science or a related field. Familiarity with tools like ERwin, IBM InfoSphere Data Architect, and experience with relational and NoSQL databases are essential, and certifications in data management can be advantageous. Strong analytical thinking, clear communication, and the ability to collaborate with diverse stakeholders set top performers apart in this role. These skills ensure the creation of scalable, accurate data models that support business intelligence and enable effective decision-making.

How does a Sr Data Modeler typically collaborate with business analysts and developers during a project?

A Sr Data Modeler often works closely with business analysts to understand the data requirements and translate them into conceptual, logical, and physical data models. They also collaborate with developers to ensure that the database design aligns with application needs and performance standards. Regular meetings, data mapping sessions, and design reviews are common, fostering open communication to address any data integrity or scalability concerns early in the process. This collaborative approach ensures that the final data models are both technically robust and aligned with business goals.

What is a Sr Data Modeler?

Sr Data Modelers are experienced professionals responsible for designing, creating, and maintaining data models that define how data is stored, organized, and accessed within an organization. They work closely with business analysts, database administrators, and software developers to ensure that data structures support business processes and analytics needs. Senior Data Modelers play a key role in translating business requirements into technical specifications, optimizing data flow, and ensuring the integrity and security of data. Their expertise helps organizations make better data-driven decisions and achieve efficient data management.

What is the difference between Sr Data Modeler vs Data Analyst?

AspectSr Data ModelerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; experience with data modeling toolsBachelor's in Statistics, Data Science, or related; proficiency in data visualization and analysis tools
Work EnvironmentDesigning data structures, creating data models, collaborating with data engineersInterpreting data, generating reports, supporting decision-making
Employer & Industry UsageUsed in data warehousing, BI projects, and database design across industriesApplied in business analysis, marketing, finance, and operations

The main difference is that Sr Data Modelers focus on designing and implementing data structures and models, while Data Analysts interpret data and generate insights. Both roles require strong analytical skills, but Data Modelers are more involved in the technical architecture of data systems.

What are popular job titles related to Sr Data Modeler jobs in Georgia? For Sr Data Modeler jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Sr Data Modeler jobs in Georgia look for? The top searched job categories for Sr Data Modeler jobs in Georgia are:
Infographic showing various Sr Data Modeler job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Modeler (Databricks)

Clarkston Consulting

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required.

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Senior Data Modeler and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries.

Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence.

What You'll Do 

As a Senior Data Modeler at Clarkston you will:

  • Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
  • Serve in a lead capacity on client initiatives
  • Ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
  • Be excited by the prospect of building our company's data engineering capabilities to support our next generation of products and data initiatives
  • Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
  • Assist in defining client solutions and support managing their delivery

How You'll Grow
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:

  • Receive the support and mentorship of your Clarkston colleagues and leaders
  • Expand your existing skillset with internal and external professional development opportunities

Requirements

What We're Looking For:

An ideal Senior Data Modeler candidate would have experience:

  • Re-engineering one or more modules and associated reports within Databricks environment
  • Documenting existing data models and designing the future state data models and architecture, following the set guidelines and standards
  • Analyzing existing data models, reports and analysis
  • Owning delivery of data products specific to a module or functional area
  • Designing and developing data models and transformations using notebooks and pipelines within Azure Databricks
  • Serving in role of a hands-on Data Engineer
  • Applying expertise in Databricks, Azure Data Factory, SQL, PySpark, and Python
  • Developing data management solutions using data lake platform tools and technologies
  • Assembling large, complex data sets that meet functional / non-functional business requirements
  • Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies
  • Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Working with stakeholders including the Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications:

  • 3+ years of experience in a Data Modeler role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with Azure or AWS cloud services
  • Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

Travel Requirement
Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required.

More About Clarkston

Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients' business challenges.

AI Statement

Clarkston values thoughtful and responsible AI use for resume writing, interview preparation, and research. However, real-time use of AI to generate or script answers during interviews - including video or live conversations - is strictly prohibited and will lead to disqualification. We seek candidates who show authenticity, good judgment, and genuine engagement throughout the process.

Benefits

Our benefits include:

  • Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
  • 401k with company contributions
  • Paid vacation, personal days, holidays, and sick leave
  • Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
  • Life and Disability Insurance
  • Training and Professional Development investments, Tuition Assistance, and more

We strive to ensure that every candidate has an equitable and accessible experience. If you are selected to move forward in the interview process, we will share information about how to request any accommodations. You may also request support at any point during the hiring process.

Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities.

Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.