Data & Analytics Solutions Architect

Role Summary: The Data & Analytics Solutions Architect provides senior, hands-on technical leadership for CRICO's analytics and data initiatives, from solution design through implementation and production readiness.

The role owns the end-to-end technical approach across data ingestion, transformation, modeling, semantic layers, BI/reporting, APIs, and integrations--not simply high-level architectural recommendations.

Working across Data Engineering and BI Engineering, this individual establishes clear technical direction, resolves difficult implementation issues, and translates business requirements into executable, supportable solutions.

The role also contributes to establishing and operationalizing a unified Technology Delivery Framework, integrating analytics-specific ADLC practices with common enterprise engineering, security, quality, and delivery controls.

The immediate priority is to help strengthen the delivery practices of a critical analytics initiative by identifying architecture, data-modeling, integration, and quality gaps; unblocking engineering teams; and strengthening delivery readiness.

Day-to-day technical leadership is core to the position.

Formal people-management responsibility is not assumed at hire and may evolve based on organizational needs and demonstrated capability.

Responsibilities: Solution Architecture & Design Translate business and analytics requirements into implementable end-to-end designs spanning data sources, pipelines, storage, logical/physical and dimensional models, semantic layers, reporting, APIs, and integrations.

Own detailed data architecture and modeling decisions, including data-domain concepts, structures, relationships, grain, metric definitions, and source-to-report traceability.

Evaluate and document design tradeoffs involving data quality, performance, scalability, cost, privacy, security, supportability, and long-term maintenance.

Define reusable solution patterns and technical approaches aligned with CRICO technology strategy and architecture guardrails.

Technical Leadership & Delivery Provide day-to-day technical leadership across Data Engineering and BI Engineering, with clear ownership, timely decisions, and coordinated upstream and downstream work.

Turn architecture into actionable implementation plans, including technical dependencies, sequencing, estimates, risks, and readiness criteria; partner with project leadership on delivery commitments.

Resolve complex technical issues directly through prototyping, coding or pairing, troubleshooting, technical reviews, and hands-on problem-solving.

Establish and reinforce acceptance criteria, a consistent definition of done, engineering and quality gates, proactive defect management, and production-readiness reviews.

Identify skill, capacity, and technical risks early; communicate impacts and escalate material blockers with practical mitigation options.

Mentor engineers and delegate implementation decisions within agreed standards, reinforcing...