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Data Operations Jobs in Atlanta, GA (NOW HIRING)

Director, Data Platform

Atlanta, GA · On-site

$170 - $225/hr

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing ...

New

We are transforming this operational footprint into one of the most valuable sources of training data for the next generation of physical AI. We are building a new business line at the intersection ...

Develop and maintain operational data pipelines using clean, production-grade SQL and Python to apply HR business logic and transform raw data into action-ready datasets * Build and support secure ...

... maximize operational efficiencies, and improve customer experience. Our solutions help our ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

... maximize operational efficiencies, and improve customer experience. Our solutions help our ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

Online Sr Data Engineer (SEO)

Atlanta, GA · On-site

$108K - $130K/yr

Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Key ...

Showing results 21-40

Data Operations information

See Atlanta, GA salary details

$50K

$123.6K

$192.3K

How much do data operations jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data operations in Atlanta, GA is $123,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $157,200.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Atlanta, GA? The most popular types of Data Operations jobs in Atlanta, GA are:
What job categories do people searching Data Operations jobs in Atlanta, GA look for? The top searched job categories for Data Operations jobs in Atlanta, GA are:
Infographic showing various Data Operations job openings in Atlanta, GA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $123,598 per year, or $59.4 per hour.

Director, Data Platform

Socket.dev

Atlanta, GA • On-site

$170 - $225/hr

Other

Posted 2 days ago

New


Job description

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting‑edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

Lead end-to-end delivery of modern data platforms for our clients—owning scope, schedule, budget, and outcomes. You’ll run agile delivery teams, guide medallion/lakehouse architectures, and partner with clients to translate business goals into scalable solutions on Snowflake, Azure & Databricks.

What You'll Do
  • Own program delivery: Drive planning, execution, risk/issue management, RAID logs, dependencies, and executive status reporting across multi-workstream data initiatives.
  • Lead agile teams: Stand up and mature Scrum/Kanban ceremonies, backlog hygiene, velocity forecasting, and release management across data engineering, analytics, and platform ops.
  • Architectural stewardship: Ensure adherence to medallion (bronze/silver/gold) patterns, data contracts, CI/CD for data, and governance/quality controls (DQ rules, lineage, observability).
  • Cloud & platform delivery: Orchestrate environments, security, and cost controls for Snowflake and Azure (ADF/Fabric, Databricks, Synapse, Key Vault, Purview).
  • Client leadership: Serve as the day-to-day executive contact; run steering committees, manage change requests, and drive stakeholder alignment and adoption.
  • Commercials & quality: Own SOW scope, staffing, and margin; forecast and track budgets; enforce delivery standards and acceptance criteria tied to business KPIs.
  • Enablement: Coach PMs and tech leads; codify playbooks/templates for repeatable delivery; contribute to proposals and pre-sales as needed.
  • Travel to client sites as needed
What You’ll Bring
  • 10+ years of technology delivery with 5+ years leading data platform or analytics programs in consulting/professional services.
  • Proven success managing $1M–$5M+ multi-workstream programs with distributed teams.
  • Hands‑on familiarity with Snowflake (warehouses, RBAC, performance/cost tuning) and Azure data services (ADF/Fabric, Databricks, Synapse, ADLS, networking & security).
  • Strong command of agile delivery (Scrum/Kanban), Jira/Azure DevOps, release planning, and CI/CD for data (Git-based workflows, environments).
  • Practical experience implementing medallion architectures and lakehouse patterns, data modeling, and data quality/observability.
  • Stakeholder management at VP/C‑suite level; crisp written/oral communication and executive reporting.
  • Nice to have: regulated industries, FinOps for data platforms, data privacy/compliance (GDPR/CCPA), and analytics enablement (Power BI/Fabric).
Preferred requirements
  • BS/MS in CS, IS, Engineering, or equivalent experience.
  • PMP, PMI-ACP, or SAFe; Snowflake SnowPro; Microsoft Azure (DP-203, AZ-305) a plus.
What Success Looks Like
  • Programs delivered on‑time/on‑budget with measurable business outcomes (e.g., SLA improvements, cost per query reductions, faster time‑to‑insight).
  • Stable, secure, and cost‑efficient Snowflake/Azure platforms with clear operating models and playbooks.
  • High client satisfaction (CSAT/NPS) and referenceable accounts.

The annual salary for this role ranges from: $170,000 to $225,000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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