Cleared Data Architect
Accenture Federal ServicesArlington, VAPosted 21 March 2026
Tech Stack
Job Description
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
You Are:
The Chip and Joanna Gaines at developing data pipelines. Like turning a fixer-upper house into the best on the block, you turn complicated datasets into useful, show stopping formats. You live in the cloud and open-source world and enjoy working with your team to bring all the pieces of the data story together, keeping ratings high and viewers wowed. What does a good time look like to you Hanging out on the reddit big data feeds and chatting about the latest advances in machine learning and AI. And of course, you always stay tuned for what's coming next.
The work:
Use your expertise to drive data and AI architecture and technology decisions
Provide insights that influence the overall strategy and plan for a scalable data solution or product that meets business needs
Educate customers on how to craft highly scalable, flexible, resilient, secure, and cost-effective architectures
Link technology with measurable business value and outcome
Identify and investigate new tools and technologies
Translate client needs into digestible requirements
Here's what you need:
Experience communicating with technical and non-technical audiences
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 platforms like Databricks, Snowflake, or Palantir
U.S. Citizenship Required (No Dual Citizenship)
Bonus points if you have:
Cloud first solutions experience
Extensive experience with cloud-hosted data service design (e.g., AWS, Azure, GCP)
Experience with creating platforms and automating processes through writing scripts or software
Software development, systems engineering, infrastructure, security, networking, data analytics
Proficiency
in programming languages such as Python, Java, or Scala, and experience with SQL.
Experience with creating data platforms and automating data processes through scripting or software development
Knowledge of software development, systems engineering, infrastructure, security, networking, data analytics
Familiarity with machine learning frameworks and tools (e.g., TensorFlow,
PyTorch , Scikit-Learn)
Security Clearance:
Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland,
Massachusetts,
Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland
. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits.
You can find more information on benefits here.
We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illi ... (truncated, view full listing at source)
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