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Data Architect
Accenture Federal Services. Drive data and AI architecture and technology decisions .
Posted 9/16/2026full-timeRemote • District of Columbia • United StatesMid-LevelSenior💰 $126,300 - $243,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud-hosted data service design, data modeling, and data governance while effectively communicating complex technical concepts to diverse audiences. Proven ability to drive data architecture decisions that align technology with business outcomes.
Highest-signal resume keywords
Cloud-Hosted Data Service DesignETL ProcessesData WarehousingData ModelingData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IntegrationData QualityData Security Best PracticesProficiency in PythonProficiency in JavaProficiency in ScalaExperience with SQLFamiliarity with Machine Learning FrameworksExperience with DatabricksExperience with Snowflake
Soft Skills
Communication with Technical and Non-Technical Audiences
Tools & Technologies
AWSAzureGCPPalantirTensorFlowPyTorchScikit-Learn
Certifications & Qualifications
U.S. CitizenshipWork Authorization
Industry Keywords
Data ArchitectureScalable Data SolutionsBusiness ValueCloud-First Solutions
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Drive data and AI architecture and technology decisions
- Provide insights influencing strategy and planning for scalable data solutions or products
- Educate customers on scalable, flexible, resilient, secure, and cost-effective architectures
- Link technology with measurable business value and outcomes
- Identify and investigate new tools and technologies
- Translate client needs into digestible requirements
Requirements
What you’ll need- Experience communicating with technical and non-technical audiences
- Experience with cloud-hosted data service design (e.g., AWS, Azure, GCP)
- Hands-on experience with ETL processes, data warehousing, and big data technologies
- Proficiency in data modeling, database design, and data governance
- Experience with data integration, data quality, and data security best practices
- Experience with Databricks, Snowflake, or Palantir
- Must be a U.S. Citizen (No Dual Citizenship)
- Applicants in the US must have work authorization that does not require current or future visa sponsorship
- Bonus: Cloud-first solutions experience
- Bonus: Experience creating platforms and automating processes through scripting or software
- Bonus: Software development, systems engineering, infrastructure, security, networking, data and analytics knowledge
- Bonus: Proficiency in Python, Java, or Scala and experience with SQL
- Bonus: Familiarity with machine learning frameworks and tools such as TensorFlow, PyTorch, and Scikit-Learn
Benefits
Comp & perks- Collaborative and caring community
- Hands-on experience
- Certifications
- Industry training
- Wide variety of benefits (details provided via benefits link)
- Reasonable accommodations for disabilities or religious observances