Data Architect

accenturefederalservices; United States; Remote; USD 126,000 - 243,000; Full time

Job summary

Accenture Federal Services is seeking a Data Architect to shape large-scale, cloud-native data and AI solutions for federal clients. You will turn complex datasets into analytics-ready formats and align architecture with measurable mission value.

The role blends strategy with hands-on platform work, collaborating across technical and non-technical stakeholders to translate business needs into scalable data architectures.

Qualifications

• Ability to communicate with both technical and non-technical audiences.
• Experience designing cloud-hosted data services on AWS, Azure, or GCP.
• Hands-on ETL, data warehousing, and big data tech.
• Proficiency in data modeling, database design, and governance.
• Experience with data integration, data quality, and data security.
• Experience with Databricks, Snowflake, or Palantir.
• U.S. citizenship required.

Responsibilities

• Shape data and AI architecture for scalable cloud solutions.
• Define strategy and roadmap for cloud-hosted data platforms.
• Educate clients on scalable, secure architectures.
• Translate business needs into technical data requirements.
• Explore emerging data and AI tools.
• Communicate architecture decisions to diverse stakeholders.

Skills

Communication

US Citizenship

Cloud platforms

ETL processes

Data warehousing

Big Data

Data modeling

Data governance

Data integration

Data quality

Data security

SQL

Python/Java/Scala

Databricks

Snowflake

Palantir

Tools

Databricks

Snowflake

Palantir

Job description

Role overview

A Data Architect role shaping large-scale, cloud-native data and AI solutions for federal clients, turning complex datasets into accessible, analytics-ready formats. The position blends architecture strategy with hands‑on platform work, helping clients build flexible, resilient, and cost-effective data products tied to measurable mission value. It involves partnering across technical and non-technical audiences to translate business needs into scalable data architectures.

Responsibilities

• Drive data and AI architecture and technology decisions for scalable solutions or products.
• Provide insights that shape the overall strategy and roadmap for cloud-hosted data platforms.
• Educate clients on crafting highly scalable, flexible, resilient, secure, and cost-effective architectures.
• Connect data and AI technology choices to measurable business value and outcomes.
• Identify and investigate emerging data, AI, and open-source tools and technologies.
• Translate client needs into digestible technical and data requirements.

Requirements

• Experience communicating with both technical and non-technical audiences.
• Experience designing cloud-hosted data services on platforms such as AWS, Azure, or GCP.
• Hands‑on experience with ETL processes, data warehousing, and big data technologies.
• Proficiency in data modeling, database design, and data governance practices.
• Experience with data integration, data quality, and data security best practices.
• Experience with modern data platforms such as Databricks, Snowflake, or Palantir.
• U.S. citizenship required; dual citizenship not permitted.

Nice to have

• Cloud‑first solution delivery experience and building platforms by writing scripts or software.
• Background in software development, systems engineering, infrastructure, security, or networking.
• Proficiency in programming languages such as Python, Java, or Scala, plus strong SQL skills.
• Experience creating data platforms and automating data processes through scripting or software development.
• Familiarity with machine learning frameworks and tools such as TensorFlow, PyTorch, or Scikit-Learn.

Benefits and work setup

• Listed base compensation range of approximately $126,300-$243,100 USD for specified U.S. locations, varying by office, role, skill set, and experience, with a standard benefits package available.