Senior Salesforce Technical Architect
Yudrio, Inc.Lead secure Service Cloud and Experience Cloud architecture for Yudrio’s federal Salesforce implementation. Guide integrations, platform governance, releases, and Agile delivery.
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Accenture Federal Services provides technology and consulting services to the U.S. federal government. As part of Accenture, the company works across consulting, defense, and logistics, helping federal agencies address complex operational and mission needs through cloud, cybersecurity, data and artificial intelligence, digital engineering, and other emerging technologies. Its work includes developing secure, scalable digital systems, applying data-driven insights to improve decisions, and modernizing government infrastructure. The company also draws on research and development and human-centered design to support resilient, effective public-sector operations.
Senior GCP Data Architect - United States Remote
Senior Data Architect role focused on secure GCP data lakes, warehouses, and streaming platforms. Support AI/ML, governance, compliance, and analytics for U.S. federal missions.
United States
Washington$103,200 – $196,400 / year
RemoteFull-timeSeniorLeadEnglish RequiredData EngineerDescription
- Shape target-state GCP architectures for data lakes, lakehouses, warehouses, and streaming platforms
- Set standards for data zones, ingestion, ELT/ETL, and data consumption
- Design BigQuery, GCS, Dataproc, and Dataflow environments for scalable analytics and AI workloads
- Create canonical data models and improve BigQuery performance through optimization techniques
- Apply IAM, CMEK, VPC Service Controls, encryption, DLP, private networking, governance, metadata, lineage, and data-quality controls
- Maintain compliance with NIST 800-53, FedRAMP, HIPAA, PCI, and SOC 2 requirements
- Design batch and streaming pipelines with Dataflow, Dataproc, Pub/Sub, and Composer
- Connect event-driven architectures through Cloud Functions and Cloud Run
- Collaborate with Data Science teams on Vertex AI pipelines, feature stores, and MLOps
- Improve BigQuery and GCS performance, storage, monitoring, logging, KPIs, and costs
- Set standards for coding, Terraform/IaC, CI/CD, and DevSecOps practices
- Maintain architecture documentation, lead reviews, and mentor technical teams
- Enable governed self-service analytics through semantic layers such as Looker
- Maintain architecture blueprints and reusable reference implementations
- Establish standards for ingestion, schema evolution, and data retention
- Review data models, pipelines, infrastructure code, and security designs
- Lead proofs of concept, benchmarking, cost analysis, and technical documentation
Requirements
- U.S. citizenship and the ability to obtain a Public Trust clearance
- Bachelor’s degree in Computer Science, Engineering, Data or Information Systems, or a related field
- 8–12+ years of data engineering or architecture experience, including 3–5+ years designing cloud data platforms, preferably on GCP
- Background designing enterprise data lakes, warehouses, and streaming architectures
- Hands-on experience with BigQuery, GCS, Dataflow, Dataproc, Pub/Sub, and Cloud Composer
- Strong knowledge of IAM, CMEK, VPC Service Controls, encryption, DLP, and governance or lineage tools
- Experience with FedRAMP, NIST 800-53, HIPAA, PCI, or comparable regulatory frameworks
- Leadership experience across cross-functional technical initiatives
- Strong command of ELT/ETL, streaming patterns, schema evolution, CDC, and data modeling
- Experience with Terraform, CI/CD, Airflow or Composer, automated testing, and Git workflows
- Track record of optimizing BigQuery and GCS for performance and cost
- Excellent communication and stakeholder engagement abilities
- Preferred qualifications include GCP certifications; federal or regulated-industry experience; Kubernetes or OpenShift certifications; service mesh, API gateway, multi-cluster, GitOps, SRE, incident response, RCA, Databricks, AWS or Azure equivalents, Vertex AI, feature stores, model registries, MLOps, governance and metadata frameworks, data mesh, and third-party tools
Benefits
- Collaborative and supportive community
- Practical hands-on experience
- Certification opportunities
- Industry-focused training
- Professional development and career growth opportunities
- Benefits package, with details provided through Accenture benefits information
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