Brillio LLC

Brillio LLC

Data Enterprise Architect - Banking

San Ramon, California, United States · Senior

Sponsorship not specifiedDetected 179 days ago
PythonSQLBigQuerySnowflakeRedshiftDatabricksAWSAzureTerraformCI/CDDevOpsPlatform EngineeringKafkaMachine LearningSparkAirflowData EngineeringLLMsRAGLLMOpsMLOpsBusiness DevelopmentTest AutomationLeadership

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 28 green-card filings in this occupation, 100% were for a worker who already held the job.

Third-party placement is common here

24% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 22 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Verizon Sourcing LLC · Centene Corporation · Abbott LaboratoriesFiles as an H-1B dependent employer.

Green-card follow-through: 96%

Of 26 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 64% of its 11 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

18 transfer filings in the last year, covering 18 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are seeking an Enterprise Data Architect to lead client-facing consulting engagements that define enterprise-wide data architecture and guide the delivery of modern data platforms that enable analytics, AI/ML, and digital products at scale. The ideal candidate blends data architecture and applied AI, with demonstrated ability to embed AI into the data
  • engineering lifecycle (requirements discovery, design, development, testing, operations, and governance) to improve delivery speed, quality, reliability, and cost across multiple client contexts. You will work directly with client leadership to shape strategy, create roadmaps, architect solutions, and govern execution from proposal through implementation.

Responsibilities

  • Partner with business and technology stakeholders to translate strategic objectives into scalable data products, domains, and platform capabilities.
  • Lead client discovery and architecture workshops to understand business goals, current-state landscapes, constraints, and value cases; translate these into target-state architecture, migration strategies, and phased roadmaps.
  • Serve as a trusted advisor to client executives and senior stakeholders; drive architecture governance (design authorities), decision logs, and risk management across complex programs.
  • Lead and coordinate delivery across client and partner teams (data engineering, BI, ML, security, platform) ensuring scope clarity, dependency management, and adherence to agreed architecture and quality standards.
  • Create high-quality consulting deliverables (architecture decks, reference architectures, ADRs, migration runbooks, governance operating models, and executive readouts) and develop reusable accelerators/templates for repeatable delivery.
  • Drive data governance, data quality, privacy, and security-by-design in alignment with enterprise policies and regulatory requirements.
  • Provide technical leadership across delivery teams; perform design reviews, resolve architectural risks, and ensure non-functional requirements (performance, cost, resiliency).
  • Support solutioning and business development (RFx): discovery workshops, estimations, capacity planning, proposals, and executive-ready storytelling.

Requirements

  • 10-12+ years of experience in data engineering, data architecture, or platform engineering, including significant experience in client-facing consulting, solution architecture, or program delivery leadership.
  • Working knowledge of AI-enabled engineering practices and/or MLOps fundamentals (model lifecycle, evaluation, monitoring), and how they intersect with data platform architecture and governance.

Nice to have

  • Experience with domain-driven data architecture and/or data mesh operating models.
  • Experience enabling AI/ML platforms and GenAI/LLM patterns including evaluation/monitoring and Responsible AI governance considerations.
  • Experience institutionalizing AI-assisted delivery for data engineering teams (standards, reusable prompts/templates, secure usage patterns, and productivity/quality measurement).
  • Technical Skills (Representative):
  • DevOps: CI/CD, IaC (Terraform/Bicep/CloudFormation), automated testing for data pipelines, observability/monitoring.
  • MLOps/LLMOps & AI Engineering: model/data versioning, experiment tracking, evaluation, prompt/response logging, safety controls, and integration with deployment/monitoring toolchains

Skills

  • Azure/AWS (one or more), Databricks /Snowflake/ BigQuery/ Redshift/ Synapse or equivalent.
  • Spark, SQL, Python, orchestration (Airflow/ADF/Prefect), streaming (Kafka/ Kinesis/ Event Hubs), ELT/ETL patterns.
  • Architecture & Modeling:
  • dimensional/data vault/3NF patterns, semantic modeling, APIs/data services, enterprise integration patterns.
  • data catalog/metadata tools, lineage, RBAC/ABAC, encryption, key management, privacy controls.
  • CI/CD, IaC (Terraform/Bicep/CloudFormation), automated testing for data pipelines, observability/monitoring.
  • MLOps/LLMOps & AI Engineering:
  • facilitate workshops, synthesize ambiguity into options/trade-offs, and present recommendations to technical and non-technical audiences.
  • Cloud & Data Platforms: Azure/AWS (one or more), Databricks /Snowflake/ BigQuery/ Redshift/ Synapse or equivalent.
  • Data Engineering: Spark, SQL, Python, orchestration (Airflow/ADF/Prefect), streaming (Kafka/ Kinesis/ Event Hubs), ELT/ETL patterns.
  • Architecture & Modeling: dimensional/data vault/3NF patterns, semantic modeling, APIs/data services, enterprise integration patterns.
  • Governance & Security: data catalog/metadata tools, lineage, RBAC/ABAC, encryption, key management, privacy controls.
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This listing is sourced directly from Brillio LLC's careers page and normalized into a canonical job model.