Data Architect

Enterprise Architecture (GCP)

• Define target-state data lake/lakehouse, warehouse, and streaming architectures on GCP.
• Establish data zones (raw/bronze, curated/silver, semantic/gold) and standards for ingestion, ELT/ETL, and consumption.
• Select and architect use of BigQuery, GCS, Dataproc, and Dataflow for scalable analytics and AI workloads.

Data Modeling & Design

• Develop canonical data models (3NF, star schema, Data Vault 2.0, wide tables).
• Apply BigQuery optimization techniques including partitioning, clustering, and materialized views.

Security, Compliance & Governance

• Implement least-privilege IAM, CMEK, VPC Service Controls, encryption, DLP, and private networking.
• Establish governance frameworks using Dataplex and Data Catalog with metadata, lineage, and data-quality controls.
• Ensure compliance with frameworks such as NIST 800-53, FedRAMP, HIPAA, PCI, and SOC 2.

Pipeline Architecture & Integration

• Design scalable batch and streaming pipelines leveraging Dataflow, Dataproc, Pub/Sub, and Composer.
• Integrate event-driven architectures using Cloud Functions/Run.

AI/ML Enablement

• Partner with Data Science teams to enable Vertex AI pipelines, feature stores, and MLOps.
• Ensure reproducible ML data pipelines with strong provenance and governance.

Performance, Observability & Cost Optimization

• Optimize BigQuery performance (slots, reservations, BI Engine) and GCS storage classes/lifecycle rules.
• Establish monitoring, logging, KPIs, and data quality standards.

Standards, Documentation & Leadership

• Define coding/IaC (Terraform) standards, CI/CD practices, and DevSecOps patterns.
• Maintain architecture artifacts and conduct architecture reviews.
• Mentor teams and support governed self-service analytics via semantic layers (Looker).

Day - to - Day Duties

• Maintain architecture blueprints and reference implementations.
• Define ingestion, schema evolution, and retention standards.
• Review models, pipelines, IaC, and security designs.
• Conduct POCs, benchmarks, cost analyses, and documentation.

• 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 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.
• Excellent communication and stakeholder engagement skills.

Preferred Experience

• 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.

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Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

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The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:

$103,200-$196,400 USD

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