Data Architect

Description

The company is a technology firm serving the US federal government, working on defense, national security, public safety, civilian and military health missions.

The team of about 13,000 people is part of global Accenture and focuses on using technology to help clients with their missions.

The work is hands-on, with room to build skills through certifications and industry training.

Responsibilities

• Design the future-state architecture for data lakes, lakehouses, warehouses and streaming systems on GCP.
• Set up data zones (raw, curated and semantic) and the standards for ingestion, ELT, ETL and consumption.
• Choose and shape how BigQuery, GCS, Dataproc and Dataflow are used for scalable analytics and AI workloads.
• Create canonical data models using 3NF, star schema, Data Vault 2.0 and wide tables.
• Apply BigQuery optimization methods such as partitioning, clustering and materialized views.
• Set least-privilege IAM, CMEK, VPC Service Controls, encryption, DLP and private networking.
• Build governance using Dataplex and Data Catalog, covering metadata, lineage and data quality checks.
• Make sure designs meet frameworks such as NIST 800-53, FedRAMP, HIPAA, PCI and SOC 2.
• Design batch and streaming pipelines with Dataflow, Dataproc, Pub/Sub and Composer.
• Build event-driven integrations with Cloud Functions and Cloud Run.
• Work with Data Science teams to enable Vertex AI pipelines, feature stores and MLOps.
• Make ML data pipelines reproducible, with clear provenance and governance.
• Tune BigQuery (slots, reservations, BI Engine) and GCS storage classes and lifecycle rules for speed and cost.
• Set up monitoring, logging, KPIs and data quality standards.
• Define Terraform coding and IaC standards, CI/CD practices and DevSecOps patterns.
• Keep architecture artifacts current and lead architecture reviews.
• Mentor teams and support governed self-service analytics through Looker semantic layers.
• Maintain architecture blueprints and reference implementations.
• Set standards for ingestion, schema evolution and retention.
• Review data models, pipelines, IaC and security designs.
• Run proofs of concept, benchmarks, cost analyses and documentation.

Requirements

• You must be a U.S. citizen able to obtain a Public Trust clearance.
• A bachelor's degree in Computer Science, Engineering, Data or Information Systems, or a related field.
• 8 to 12+ years in data engineering or architecture, including 3 to 5+ years architecting cloud data platforms, preferably on GCP.
• Experience designing enterprise-grade data lakes, warehouses and streaming architectures.
• Hands-on work with BigQuery, GCS, Dataflow, Dataproc, Pub/Sub and Cloud Composer.
• Strong knowledge of IAM, CMEK, VPC SC, encryption, DLP and governance or lineage tools.
• Experience meeting regulatory requirements such as FedRAMP, NIST 800-53, HIPAA and PCI.
• A record of leading cross-functional technical initiatives.
• Strong skills in ELT, ETL, streaming patterns, schema evolution, CDC and data modeling.
• Experience with Terraform, CI/CD, Airflow or Composer, automated testing and Git workflows.
• A proven record of tuning BigQuery and GCS for performance and cost.
• Excellent communication and stakeholder engagement skills.
• Preferred: GCP professional certifications such as Cloud Architect or Data Engineer.
• Preferred: Federal Government or regulated-industry experience.
• Preferred: Kubernetes or OpenShift certifications such as CKA, CKAD, RHCSA or RHCE.
• Preferred: Experience with Istio service mesh, API gateways, multi-cluster strategies and GitOps at scale.
• Preferred: Experience with SRE practices, incident response and root cause analysis.
• Preferred: Familiarity with Databricks or the AWS or Azure equivalents.
• Preferred: Strong experience with Vertex AI, feature stores, model registries and MLOps workflows.
• Preferred: Experience with governance and metadata frameworks, stewardship workflows and data mesh concepts.
• Preferred: Experience with third-party tools such as Turbot, CrowdStrike, Nessus, Dynatrace and Splunk.
• Preferred: Advanced expertise in tuning BigQuery and GCS performance.

Conditions

The base pay range for this role in 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 to $196,400 USD, shared because local law requires it.

Pay depends on factors including office location, role, skill set and experience level.

Applications are accepted on an ongoing basis with no fixed deadline.

The company provides equal opportunity and works to build an inclusive workplace.

Benefits

• A wide range of benefits is offered.
• Support for certifications and industry training.