84.51°

84.51°

Solution Architect (P4643)

Cincinnati, OH; Chicago, IL · Principal

Sponsorship not specified$162k-$262kDetected 15 days ago
Distributed SystemsSnowflakeDatabricksVector DatabasesAzureCloud PlatformsCI/CDPlatform EngineeringAPI DevelopmentGraphQLRESTOAuthOpenAPIMachine LearningSparkData EngineeringData ScienceLLMsRAGTest AutomationLeadershipCollaboration

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 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

  • 84.51° is a retail data science, insights and media company.
  • In this role, you will define practical architecture patterns that make data, APIs, and platform capabilities easier to access, govern, integrate, and scale.

Responsibilities

  • Design end to end solution architectures across data platforms, APIs, AI enabled applications, internal tools, and client facing capabilities.
  • Translate business and product needs into technical designs, implementation plans, architecture diagrams, and phased delivery roadmaps.
  • Build prototypes, proofs of concept, and reference implementations to validate technical feasibility and help teams move faster.
  • Work with engineering teams to make key technical decisions around system design, integration patterns, data models, platform choices, and build versus buy tradeoffs.
  • Create solution design documents, API specifications, architecture decision records, reference architectures, and technical implementation guidance.
  • Embed with delivery teams when needed to clarify requirements, unblock implementation issues, validate technical feasibility, or help move a concept from prototype to production.
  • Partner with security, data governance, and platform teams to ensure solutions are secure, compliant, observable, and supportable.
  • Mentor engineers and technical teams on architecture practices, API design, data architecture, AI system design, and pragmatic delivery.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent practical experience.
  • 7 or more years of experience in software engineering, data engineering, platform engineering, solution architecture, or a related technical role.
  • 3 or more years of experience in a technical leadership, architecture, staff engineer, principal engineer, or solution design role.
  • Strong understanding of architecture patterns such as microservices, API first design, event driven architecture, domain driven design, and evolutionary architecture.
  • Experience with cloud platforms, preferably Azure, and modern data platform patterns.
  • Experience with CI/CD, automated testing, monitoring, logging, and production support practices.
  • Experience with Databricks, Snowflake, Delta Lake, Azure Data Lake Storage, Spark, or similar cloud data platforms.
  • Experience with managed AI services such as Azure OpenAI, Databricks AI and ML capabilities, Snowflake Cortex AI, or similar platforms.
  • Experience with governance, security, and observability concepts including RBAC, lineage, audit logging, cost attribution, data access controls, and platform monitoring.

Compensation

  • $162,000 - $262,200 USD
  • Base Pay Range

Benefits

  • Medical: with competitive plan designs and support for self-care, wellness and mental health.
  • with in-network and out-of-network benefit.
  • Health Savings Account with matching contribution (requires participation in qualifying medical plan).
  • Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
  • Paid leave for maternity, paternity and family care instances.
  • Partner with product managers, engineers, data scientists, machine learning engineers, and business stakeholders to understand problems, shape solutions, and define technical paths forward.
  • Help define practical architecture patterns for cloud applications, APIs, data pipelines, semantic layers, AI and machine learning workflows, and event driven integrations.

This listing is sourced directly from 84.51°'s careers page and normalized into a canonical job model.