Data Architect

The role

The Data Architect will define target-state data architectures on GCP. This role involves designing data models, implementing security and governance frameworks, and designing scalable data pipelines.

What you will do

• Define target-state data lake/lakehouse, warehouse, and streaming architectures on GCP.
• Establish data zones and standards for ingestion, ELT/ETL, and consumption.
• Select and architect use of BigQuery, GCS, Dataproc, and Dataflow.
• Develop canonical data models.
• Apply BigQuery optimization techniques.
• Implement least-privilege IAM, CMEK, VPC Service Controls, encryption, DLP, and private networking.
• Establish governance frameworks using Dataplex and Data Catalog.
• Ensure compliance with frameworks such as NIST 800-53, FedRAMP, HIPAA, PCI, and SOC 2.
• Design scalable batch and streaming pipelines.
• Integrate event-driven architectures using Cloud Functions/Run.

Required qualifications

• 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.
• 3–5+ years architecting cloud data platforms.
• 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 regulatory compliance (FedRAMP, NIST 800-53, HIPAA, PCI, etc.).
• Demonstrated leadership in cross-functional technical initiatives.
• Strong skills with ELT/ETL, streaming patterns, schema evolution, CDC, and data modeling techniques.
• Experience with Terraform, CI/CD, Airflow/Composer, automated testing, and Git workflows.
• Proven ability to optimize BigQuery and GCS for performance and cost.

Nice to have

• GCP professional certifications (Cloud Architect, Data Engineer).
• Federal Government or regulated-industry experience.
• Kubernetes/OpenShift certifications (CKA/CKAD, RHCSA/RHCE).
• Experience with service mesh (Istio), API gateways, multi-cluster strategies, and GitOps at scale.
• Experience with SRE practices, incident response, and RCA.
• Familiarity with Databricks or AWS/Azure equivalents.
• Strong experience in Vertex AI, feature stores, model registries, and MLOps workflows.
• Experience with governance and metadata frameworks, stewardship workflows, and data mesh concepts.
• Experience with third-party tools (Turbot, CrowdStrike, Nessus, Dynatrace, Splunk).
• Advanced BigQuery and GCS performance-tuning expertise.

Benefits

• Hands-on experience
• Certifications
• Industry training

Before you apply

• Must be a U.S. Citizen with ability to obtain a Public Trust clearance.
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
• Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people pursue technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.