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Edp Manager Jobs (NOW HIRING)

Compunnel

EDP Solution Architect

Freeport, ME · On-site

$65.25 - $86/hr

Job Summary The EDP Solution Architect is a senior, hands-on contract role responsible for ... The Solution Architect partners daily with Tech Leads, Data Engineers, Product Managers, Business ...

EDP

Sourcing Manager

Chicago, IL · On-site

$105K/yr

Develop and manage RFP and competitive bid processes to ensure optimal supplier selection and ... Our Culture EDP is a practical, roll-up your sleeves organization where clarity and follow through ...

EDP

Sourcing Manager

Chicago, IL · On-site

$105K/yr

Develop and manage RFP and competitive bid processes to ensure optimal supplier selection and ... Our Culture EDP is a practical, roll-up your sleeves organization where clarity and follow through ...

Ampcus

EDP Data Engineer

Washington, DC · On-site

$129K - $155K/yr

EDP Data Engineer. Location: Washington, DC. * The Data Engineer designs, builds, and operates ... Familiarity with orchestration patterns (Databricks Workflows/Jobs) and dependency management.

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$24K

$62.6K

$139.5K

How much do edp manager jobs pay per year?

As of Jun 4, 2026, the average yearly pay for edp manager in the United States is $62,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $74,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an EDP Manager, and why are they important?

To thrive as an EDP (Electronic Data Processing) Manager, you need strong expertise in information systems management, database administration, and IT infrastructure, typically backed by a degree in computer science or information technology. Familiarity with enterprise resource planning (ERP) systems, data security protocols, and certifications like CompTIA, PMP, or ITIL are highly valued. Exceptional leadership, problem-solving, and communication skills help in managing teams and aligning IT services with business objectives. These skills and qualifications ensure the secure, efficient, and strategic operation of an organization's data processing functions.

What are some common challenges EDP Managers face when implementing new data processing systems, and how can they be addressed?

EDP Managers often encounter challenges such as resistance to change from staff, integration issues with legacy systems, and ensuring data security during system upgrades. Addressing these challenges involves clear communication with stakeholders, thorough training programs for employees, and collaborating closely with IT teams to ensure seamless integration. Additionally, establishing strong data governance policies and regular security audits can help maintain data integrity and compliance throughout the transition.

What does an EDP Manager do?

An EDP (Electronic Data Processing) Manager oversees the operation, maintenance, and security of an organization's computer systems and data processing activities. They are responsible for managing IT staff, implementing new technologies, ensuring data integrity, and developing policies for data management and security. EDP Managers also coordinate with other departments to identify technology needs and optimize business processes through effective use of information systems.

What is the difference between Edp Manager vs Data Analyst?

AspectEdp ManagerData Analyst
Required CredentialsBachelor's degree in engineering, business, or related field; often certifications in project managementBachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentManufacturing plants, production facilities, or enterprise settingsOffice settings, data centers, or remote work environments
Employer & Industry UsageManufacturing, industrial, or engineering firmsFinance, marketing, healthcare, and technology sectors

The Edp Manager primarily oversees engineering, production, and process improvements within industrial settings, focusing on operational efficiency. In contrast, Data Analysts interpret data to support business decisions across various industries. While both roles require analytical skills, their work environments and industry applications differ significantly.

More about Edp Manager jobs
What cities are hiring for Edp Manager jobs? Cities with the most Edp Manager job openings:
What are the most commonly searched types of Edp jobs? The most popular types of Edp jobs are:
Who are the top companies hiring for Edp Manager jobs? The top employers for Edp Manager jobs are:
What states have the most Edp Manager jobs? States with the most job openings for Edp Manager jobs include:
Edp Manager jobs near you
Infographic showing various Edp Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $62,609 per year, or $30.1 per hour.
EDP Solution Architect

EDP Solution Architect

Compunnel

Freeport, ME • On-site

$65.25 - $86/hr

Contractor

Posted 7 days ago

Job description

Job Summary
The EDP Solution Architect is a senior, hands-on contract role responsible for designing end-to-end data solutions across the Enterprise Data Platform (EDP). EDP is built fully on Google Cloud Platform and supports both the migration of workloads from our legacy on-premises EDW and the build-out of net-new enterprise data products across marketing, customer, and other business domains. The Solution Architect operates at the use-case and workstream level - translating business needs into conceptual, logical, and physical data designs that span ingestion, transformation, and the consumption layer.
This role sits close to the build. The Solution Architect partners daily with Tech Leads, Data Engineers, Product Managers, Business Analysts, SMEs, and Quality Engineers to design solutions that are deliverable, performant, and trustworthy - and aligns with the Platform Architecture team to ensure designs adopt established platform standards, patterns, and guardrails.
Strong, hands-on GCP fluency is essential - BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage - alongside deep experience in data modeling, mapping, and solution design.
Key Responsibilities
  • Design end-to-end data solutions for assigned migration waves and net-new use cases - covering ingestion, transformation, and consumption - from conceptual through logical and physical models.
  • Define source-to-target mappings and transformation designs, including handling of data types, nulls, defaults, slowly changing dimensions, and business rule logic.
  • Make hands-on GCP service selection and design decisions across BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage - balancing performance, cost, security, and operability.
  • Design dimensional and analytics-ready data models (star schemas, fact / dimension structures) that align with downstream BI and consumption needs.
  • Apply security, access, and least-privilege design principles at the dataset and domain level in line with platform standards.
  • Partner closely with Tech Leads and Data Engineers - providing hands-on design guidance, unblocking tradeoff decisions, and reviewing implementation against the agreed design.
  • Engage with Product Managers, Business Analysts, and SMEs to translate business requirements into clear, executable solution designs and data product definitions.
  • Partner with the EDP QA / QE Lead and Quality Engineers to ensure quality is designed in - including validation hooks, reconciliation strategy, and data quality expectations baked into the solution from day one.
  • Collaborate with the Platform Architecture team to adopt platform standards and patterns, surface gaps or exceptions, and contribute reusable patterns back from delivery learnings.
  • Lead solution design reviews, document key design decisions and tradeoffs, and communicate clearly to both technical and non-technical stakeholders.
  • Contribute pragmatically to AI / GenAI enablement on EDP where it strengthens solution outcomes - for example, supporting metadata-driven workflows, AI-ready data product design, and consumption patterns for AI / data-agent use cases.
  • Operate in a Scrum/ Kanban / Agile model using Jira and Confluence; deliver iterative, measurable outcomes.

Required Qualifications
  • 7+ years of progressive experience in data engineering and solution architecture on enterprise data platforms, with significant hands-on delivery experience.
  • Strong, hands-on experience with Google Cloud Platform data services - Big Query (modeling, optimization, cost / performance patterns), Dataflow, Cloud Composer, Dataform, and Cloud Storage.
  • Demonstrated expertise across the full data management lifecycle - conceptual, logical, and physical data modeling; source-to-target mapping; transformation design; and data product structure.
  • Strong foundation in dimensional modeling and star schemas, metric definitions, and consumption-ready data structures.
  • Strong SQL skills, including the ability to design and reason about complex queries and transformations on large data sets.
  • Working knowledge of security and access design on GCP - IAM, least-privilege, and domain / dataset-based access concepts.
  • Demonstrated ability to operate across architecture and implementation - defining a design, guiding engineers through it, and reviewing the build against intent.
  • Strong collaboration and communication skills; able to explain tradeoffs and design decisions to both technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience.

Preferred Qualifications
  • Prior experience on a platform modernization or EDW-to-GCP migration program of comparable scale.
  • Experience in retail / consumer / omni-channel domains (customer, product, inventory, orders, pricing, promotions, loyalty).
  • Familiarity with semantic layer concepts, data catalog / metadata platforms, and governance workflows.
  • Exposure to LLM-enabled or agentic tooling and patterns for AI-ready data products.
  • Working proficiency in Python for prototyping and pipeline support.
  • GCP certification, particularly Professional Data Engineer or Professional Cloud Architect.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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