Data Architect

Washington, DCfull time

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senior

$103k–$196k

H1B: no

Accenture Federal Services The Data Architect defines enterprise data architectures on GCP, including data lakes, warehouses, and streaming architectures, and establishes data governance and compliance frameworks. They design scalable data pipelines, optimize BigQuery performance, and mentor teams on architecture standards and DevSecOps practices.

Responsibilities

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

Qualification

Must be a UBachelor’s degree in Computer ScienceHands‐on expertise with BigQueryStrong background in IAMStrong skills with ELT/ETLExperience with TerraformExperience with service mesh (Istio)Experience with SRE practicesStrong experience in Vertex AI

Required

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

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.

Company

Accenture Federal Services

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10000+ employees

Consulting

Founded 1989

Source: greenhouse

Active within the past hour

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