Data Architect

🔥 7 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $103.2k - $196.4k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• 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

• 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

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