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Senior Data Architect Jobs in Delaware (NOW HIRING)

360 IT Professionals

Sr Java Developer

Wilmington, DE · On-site

$55.50 - $70.75/hr

Build data extraction and manipulation solutions and tools from different sources to analyze data ... Experience with Service-oriented architecture including SOAP, REST, JSON and/or Thrift. Experience ...

Mwe

Senior Manager, AI & Analytics

Wilmington, DE · On-site

... data architecture, and governance * Lead governance forums to prioritize initiatives, monitor ... Senior leadership scope - own the full stack from roadmap to delivery to governance * Strategic ...

Fairygodboss

Sr. Lead Software Engineer

Wilmington, DE · On-site

$150 - $200/hr

... and data flows aligned to enterprise standards. * Drive architectural decisions and trade-offs ... senior technology stakeholders. * Ability to evaluate current and emerging technologies and ...

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Senior Data Architect information

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How much do senior data architect jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for senior data architect in Delaware is $75.45, according to ZipRecruiter salary data. Most workers in this role earn between $64.71 and $86.63 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

What are the key skills and qualifications needed to thrive as a senior data architect?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What is the difference between Senior Data Architect vs Data Engineer?

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Delaware?

The most popular types of Data Architect jobs in Delaware are:

What are popular job titles related to Senior Data Architect jobs in Delaware?

For Senior Data Architect jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Data Architect jobs in Delaware look for?

The top searched job categories for Senior Data Architect jobs in Delaware are:

What cities in Delaware are hiring for Senior Data Architect jobs?

Cities in Delaware with the most Senior Data Architect job openings:

What are popular job titles related to Senior Data Architect jobs in DE?

For Senior Data Architect jobs in DE, the most frequently searched job titles are:

Senior Data Architect jobs near you
Infographic showing various Senior Data Architect job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $156,937 per year, or $75.5 per hour.

Data Product Manager - Sr. Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$150 - $200/hr

Other

Re-posted 8 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Senior Product Manager - Sr. Associate in Talent Data Product , you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross‑functional teams and play a crucial role in shaping the future of our products and ongoing success. . In this role, you will help execute the roadmap for data products that support Talent Acquisition, Onboarding, Off‑boarding, and Workforce Planning. You will partner across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, high‑quality, well‑governed datasets that enable a cohesive, frictionless, and personalized candidate and employee experience. This is an execution‑oriented role with clear ownership of discovery, requirements, backlog, delivery coordination, and data product quality.

Job responsibilities
  • Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
  • Considers and plans for upstream and downstream implications of new product features on the overall product experience
  • Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
  • Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
  • Writes the requirements, epics, and user stories to support product development
  • Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.
  • Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.
  • Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit‑for‑purpose data offerings.
  • Establish and maintain strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards.
  • Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.
  • Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices.
Required qualifications, capabilities, and skills
  • 3+ years of experience or equivalent expertise in product management or a relevant domain area
  • Proficient knowledge of the product development life cycle
  • Experience in product life cycle activities including discovery and requirements definition
  • Developing knowledge of data analytics and data literacy
  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.
  • Working knowledge of modern data platforms and cloud ecosystems, including entitlements, catalog, lineage, and data quality tooling.
  • Proficiency in SQL for data testing, validation, and ad‑hoc analysis; ability to guide users on how to access and use data products effectively.
  • Experience with data onboarding, metadata management, governance workflows, and compliance in control‑heavy or regulated environments with multiple lines of defense.
  • Strong stakeholder engagement and communication skills; ability to translate technical capabilities into clear business outcomes and articulate trade‑offs.
Preferred qualifications, capabilities, and skills
  • Experience working with Talent-related processes, systems, or data.
  • Understanding of privacy and compliance considerations related to HR data.

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