Senior Platform Engineer

Accenture Federal Services•Hill Air Force Base, UT

6d•$124,000 - $246,400

About The Position

Accenture Federal Services is seeking a Data Platform Architect to set the 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.

Requirements

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
Must have an active Top Secret level clearance

Nice To Haves

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

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
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
Document decisions, standards, patterns, and rationale for transparency and onboarding
Contribute to and uphold engineering and architecture standards