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Accenture Federal Services
Accenture Federal Services
ApărareConsultanțăLogistică
Accenture Federal Services oferă servicii de tehnologie și consultanță guvernului federal al Statelor Unite. Ca parte a Accenture, compania activează în domeniile consultanței, apărării și logisticii, ajutând agențiile federale să răspundă unor nevoi operaționale și de misiune complexe prin cloud computing, securitate cibernetică, date și inteligență artificială, inginerie digitală și alte tehnologii emergente. Activitatea sa include dezvoltarea unor sisteme digitale sigure și scalabile, utilizarea informațiilor bazate pe date pentru îmbunătățirea procesului decizional și modernizarea infrastructurii guvernamentale. Compania se bazează, de asemenea, pe cercetare și dezvoltare și pe design centrat pe oameni pentru a sprijini operațiuni reziliente și eficiente în sectorul public.
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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.

USStatele Unite ale AmericiiWAWashington
103.200 $ – 196.400 $ / an
RemoteNormă întreagăSeniorLiderLimbă Obligatorie: englezăInginer de date
AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformKubernetesOpenShiftTerraform

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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