A

Accenture

Advises businesses and runs their technology

Data Product & Quality Specialist

Manual & Functional QAConfirmed live in the last 24 hours
Full-timeSuitland-Silver Hill, MD, USA$86.4k - $176.2k

About the Job

Requirements

  • Must be a U.S. citizen and hold an active Department of Defense Secret clearance, with the ability to obtain a Top Secret clearance.
  • Have strong experience with application programming interface testing tools such as Postman, data catalog interfaces, and data validation techniques.
  • Be familiar with SQL and scripting languages such as Python for data analysis and validation.
  • Have experience in data quality assurance, software testing, and writing technical documentation.
  • Have an analytical mindset and the ability to understand data from both technical and mission-user perspectives.
  • Have communication skills to translate consumer needs into actionable technical feedback for development teams.
  • Be familiar with enterprise data platforms used by the Department of the Air Force, including Databricks, Collibra, Snowflake, and Palantir, particularly for creating and managing data products.

Responsibilities

  • Lead quality assurance and testing for data products, ensuring accuracy, completeness, and alignment with metadata and requirements.
  • Develop and execute test plans for data pipelines, application programming interfaces, and data products, validating data discoverability and accessibility through available interfaces.
  • Advise Department of the Air Force data domains on designing and building data products, including metadata standards, service-level agreements and objectives, quality expectations, and availability requirements.
  • Help data domains define and apply data-product quality standards and use Air Force Battle Force (AFB) tools to clean, transform, and refine raw data into usable products.
  • Support adoption of the Data Mesh ecosystem, helping consumers understand and leverage data products and enabling tools.
  • Use cataloging and metadata solutions, including automated tagging tools and enterprise platforms such as Databricks, Collibra, Snowflake, and Palantir, to support creation and validation of data products.
  • Create and maintain user-facing documentation, tutorials, and onboarding guides.
  • Gather feedback from consumers and mission partners to drive continuous improvement of data products and the platform.

Desired Qualifications

  • Have experience supporting or advocating for data-mesh principles within an enterprise or government environment.
  • Have prior involvement advising stakeholders or data domains on the design and lifecycle of data products.
  • Have hands-on experience helping users understand and adopt data-platform tools for data cleaning, enrichment, and transformation.
  • Have experience working with automated metadata-tagging solutions or data-governance tooling.
  • Have a background collaborating with mission partners or early adopters to iterate platform improvements.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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