Data Architect

Accenture Federal Services

. Define target-state data lake/lakehouse, warehouse, and streaming architectures on GCP .

Posted 10/6/2026full-timeRemote • United StatesSeniorLead💰 $103,200 - $196,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in architecting data lakes, warehouses, and streaming architectures on GCP, with a strong focus on BigQuery optimization, compliance with regulatory standards, and implementing data governance frameworks. Proven ability to lead cross-functional teams and develop scalable analytics solutions using modern data engineering practices.

Highest-signal resume keywords

GCP Data ArchitectureBigQuery OptimizationIAM and Data GovernanceELT/ETL and Data ModelingTerraform and CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureBigQueryGCSDataflowDataprocPub/SubCloud ComposerELT/ETLData Modeling

Soft Skills

Excellent CommunicationStakeholder EngagementLeadership

Tools & Technologies

TerraformCI/CDAirflowGitVertex AI

Certifications & Qualifications

GCP Professional CertificationsKubernetes/OpenShift Certifications

Industry Keywords

NIST 800-53FedRAMPHIPAAPCISOC 2

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformKubernetesOpenShiftTerraform

About the role

Key responsibilities & impact

Define target-state data lake/lakehouse, warehouse, and streaming architectures on GCP
Establish data zones and standards for ingestion, ELT/ETL, and consumption
Architect BigQuery, GCS, Dataproc, and Dataflow for scalable analytics and AI workloads
Develop canonical data models and apply BigQuery optimization techniques
Implement IAM, CMEK, VPC Service Controls, encryption, DLP, private networking, governance, metadata, lineage, and data-quality controls
Ensure compliance with NIST 800-53, FedRAMP, HIPAA, PCI, and SOC 2
Design batch and streaming pipelines using Dataflow, Dataproc, Pub/Sub, and Composer
Integrate event-driven architectures using Cloud Functions/Run
Partner with Data Science teams on Vertex AI pipelines, feature stores, and MLOps
Optimize BigQuery and GCS performance, storage, monitoring, logging, KPIs, and costs
Define coding, Terraform/IaC, CI/CD, and DevSecOps standards
Maintain architecture artifacts, conduct architecture reviews, and mentor teams
Support governed self-service analytics through semantic layers such as Looker
Maintain architecture blueprints and reference implementations
Define ingestion, schema evolution, and retention standards
Review models, pipelines, IaC, and security designs
Conduct proofs of concept, benchmarks, cost analyses, and documentation

Requirements

What you’ll need

Must be a U.S. Citizen with ability to obtain a Public Trust clearance
Bachelor’s degree in Computer Science, Engineering, Data/Information Systems, or related field
8–12+ years in data engineering/architecture, with 3–5+ years architecting cloud data platforms, preferably GCP
Experience designing enterprise-grade data lakes, warehouses, and streaming architectures
Hands-on expertise with BigQuery, GCS, Dataflow, Dataproc, Pub/Sub, and Cloud Composer
Strong background in IAM, CMEK, VPC SC, encryption, DLP, and governance/lineage tools
Experience with FedRAMP, NIST 800-53, HIPAA, PCI, or similar regulatory compliance
Demonstrated leadership in cross-functional technical initiatives
Strong skills with ELT/ETL, streaming patterns, schema evolution, CDC, and data modeling
Experience with Terraform, CI/CD, Airflow/Composer, automated testing, and Git workflows
Proven ability to optimize BigQuery and GCS for performance and cost
Excellent communication and stakeholder engagement skills
GCP professional certifications, federal government or regulated-industry experience, Kubernetes/OpenShift certifications, service mesh, API gateways, multi-cluster strategies, GitOps, SRE, incident response, RCA, Databricks or AWS/Azure equivalents, Vertex AI, feature stores, model registries, MLOps, governance and metadata frameworks, data mesh concepts, and third-party tools are preferred

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Professional development and growth opportunities
Benefits package (details provided via Accenture benefits information)