17 days 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. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting edge science, we leverage first-party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail advertising solution, Kroger Precision Marketing.