2 months ago
Base Salary
$162k - $262k/yr
Responsibilities
- Partner with product managers, engineers, data scientists, machine learning engineers, and business stakeholders to shape technical solutions and delivery paths.
- Design end-to-end architectures across data platforms, APIs, AI-enabled applications, internal tools, and client-facing capabilities.
- Translate business and product needs into technical designs, architecture diagrams, implementation plans, and phased delivery roadmaps.
- Build prototypes, proofs of concept, and reference implementations to validate feasibility.
- Define architecture patterns for cloud applications, APIs, data pipelines, semantic layers, AI and machine learning workflows, and event-driven integrations.
- Guide decisions involving system design, integration patterns, data models, platform choices, and build-versus-buy tradeoffs.
- Shape secure and consistent API strategies for consuming data, models, and platform capabilities.
- Create solution design documents, API specifications, architecture decision records, reference architectures, and implementation guidance.
- Embed with delivery teams to clarify requirements, resolve implementation issues, and move concepts 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, API design, data architecture, AI system design, and pragmatic delivery.
- Evaluate managed AI platforms, semantic layer tools, agent frameworks, and cloud data services for practical adoption.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent practical experience.
- At least 7 years of experience in software engineering, data engineering, platform engineering, solution architecture, or a related technical role.
- At least 3 years of experience in technical leadership, architecture, staff engineering, principal engineering, or solution design.
- Experience designing distributed systems, APIs, data platforms, or cloud applications.
- Understanding of 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 building prototypes or proof-of-concept solutions.
- Experience collaborating with product, engineering, and data science stakeholders.
- 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.
- Familiarity with machine learning system patterns including model training pipelines, inference services, feature engineering, model registries, and MLOps.
- Familiarity with LLM application patterns including retrieval-augmented generation, semantic search, vector databases, prompt orchestration, and AI agents.
- Experience with managed AI services such as Azure OpenAI, Databricks AI and ML capabilities, Snowflake Cortex AI, or similar platforms.
- Experience designing REST, GraphQL, event-based, or asynchronous APIs.
- Familiarity with API gateways, OAuth, OIDC, OpenAPI specifications, rate limiting, versioning, and service-to-service authentication.
- Experience with governance, security, and observability concepts including RBAC, lineage, audit logging, cost attribution, data access controls, and platform monitoring.
- Experience in retail media, ad tech, marketing technology, customer analytics, loyalty, or large-scale consumer data environments.
Benefits
- Five-day in-office work schedule.
- Medical, dental, and vision coverage.
- 401(k) with Roth option and matching contribution.
- Health Savings Account with matching contribution for participants in a qualifying medical plan.
- AD&D and supplemental insurance options.
- Five weeks of vacation, seven health and wellness days, three floating holidays, and six company-paid holidays annually.
- Paid maternity, paternity, and family-care leave.
- Eligible for variable compensation in addition to base salary.
Tech Stack
Categories
About 84.51˚
84.51° is a retail data science, insights, and media company that builds analytics platforms and retail media solutions for The Kroger Co. and consumer packaged goods brands. It commercializes Kroger first-party loyalty data through products such as 84.51° Insights and Kroger Precision Marketing to support targeting, measurement, and merchandising decisions. Founded in 2015 and headquartered in Cincinnati, it operates as a privately held company offering subscriptions, consulting, and managed media services.