Senior Platform Engineer

Engg; Utah; On-site; USD 124,000 - 246,000; Full time

Job summary

Accenture Federal Services seeks a Data Platform Architect to set the technical vision for a data lake/lakehouse and broader cloud ecosystem in a secure environment. This hands-on leadership role influences delivery teams and governance, shaping architecture across programs.

You will design data pipelines in Python, establish data quality and observability, ensure security and compliance, and engage with government stakeholders to clarify direction and requirements.

Qualifications

• Hands-on development/engineering experience (data architecture/platforms).
• Python development skills and familiarity with data processing, orchestration, and/or analysis tools.
• Experience working with senior stakeholders and/or leading engineering teams, adjusting depth/language as needed.

Responsibilities

• Own technical vision and roadmap for the data platform (data lake/lakehouse, ingestion, modeling, governance, analytics)
• Translate vision into design decisions, standards, and reference patterns for engineering
• Present and defend architecture positions to the Architecture Review Board; communicate approved decisions to the team
• Influence architectural direction beyond the data platform as the program matures
• Identify and retire technical debt with clear rationale
• Remain hands-on: prototype, review code, build reference implementations, set engineering quality standards
• Design/build data pipelines and platform services in Python and related tools, focusing on performance, reliability, maintainability
• Establish data quality, lineage, and observability practices
• Ensure security and compliance requirements are met from the start
• Stakeholder Engagement Engage government customers and mission stakeholders to clarify direction and requirements
• Communicate technical vision, tradeoffs, and risks to senior stakeholders in actionable language
• Ensure technical team understands both what to build and why
• Represent the data platform in customer and partner discussions
• Documentation and Standards Document decisions, standards, patterns, and rationale for transparency and onboarding
• Contribute to and uphold engineering and architecture standards

Skills

Hands-on development

Data architecture

Python development

Stakeholder leadership

DevSecOps

Tools

Python

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! Accenture Federal Services is seeking a Data Platform Architect to set technical vision for a common data platform and broader mission cloud ecosystem in a secure, regulated environment. This is a hands‑on technical leadership role, influencing the delivery team as the platform expands. Architecture governance is collective, with this role as a key voice on data architecture.

What You Will Do

• Own technical vision and roadmap for the data platform (data lake/lakehouse, ingestion, modeling, governance, analytics)
• Translate vision into design decisions, standards, and reference patterns for engineering
• Present and defend architecture positions to the Architecture Review Board; communicate approved decisions to the team
• Influence architectural direction beyond the data platform as the program matures
• Identify and retire technical debt with clear rationale
• Remain hands‑on: prototype, review code, build reference implementations, set engineering quality standards
• Design/build data pipelines and platform services in Python and related tools, focusing on performance, reliability, maintainability
• Establish data quality, lineage, and observability practices
• Ensure security and compliance requirements are met from the start
• Stakeholder Engagement Engage government customers and mission stakeholders to clarify direction and requirements
• Communicate technical vision, tradeoffs, and risks to senior stakeholders in actionable language
• Ensure technical team understands both what to build and why
• Represent the data platform in customer and partner discussions
• Documentation and Standards Document decisions, standards, patterns, and rationale for transparency and onboarding
• Contribute to and uphold engineering and architecture standards

How We Work

• SAFe Lean‑Agile delivery with 2-week sprints
• Model-Based Systems Engineering (MBSE)
• DevSecOps with security/compliance built into the pipeline
• Decentralized command: teams own execution, technical leaders set direction and remove ambiguity

What you'll need

• Hands‑on development/engineering experience (data architecture/platforms)
• Python development skills and familiarity with data processing, orchestration, and/or analysis tools
• Experience working with senior stakeholders and/or leading engineering teams, adjusting depth/language as needed
• Experience setting technical direction through influence, standards, and design leadership

Bonus Points if you have

• Ability to turn unclear stakeholder direction into defensible technical requirements/designs
• Experience designing/delivering data lake, lakehouse, or large‑scale data platform solutions (e.g.: ingestion, storage, transformation, governance, consumption)
• Experience with distributed data processing frameworks and/or modern open data formats
• Experience with architecture governance (e.g.: review boards, design reviews, consensus building)
• Experience supporting test, evaluation, or operational data workflows with large data collection/analysis
• Experience with data tagging, classification, and segregation in strict access control environments
• Experience delivering in DevSecOps pipelines with automated security/compliance controls
• Familiarity with MBSE and model‑driven approaches to systems/data design
• Experience in SAFe or similar scaled agile environments
• Experience mentoring engineers and raising technical capability without formal management

Clearance

Must have an active Top Secret level 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, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $124,000 - $246,400 USD

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.

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driv