Seeking a Senior Data Engineer Consultant to bridge the gap between business needs and technical solutions. This role involves deep engagement with stakeholders to understand and document data requirements for critical migrations and platform enhancements. You will be instrumental in defining data flows, creating essential documentation like source-to-target mappings, and ensuring data quality for new systems.

This position requires a proactive approach to managing product backlogs and facilitating Agile ceremonies to ensure efficient squad operations. Collaboration is key as you'll work with cross-functional teams to remove impediments and drive project success. Your expertise will directly influence the design and implementation of our enterprise data platforms.

Collaborate closely with business stakeholders, product owners, and Subject Matter Experts (SMEs) to grasp reporting, analytics, and data requirements affected by migrations. Document existing data flows and reporting usage patterns. Translate complex business needs into user stories, functional requirements, and clear acceptance criteria. Develop and maintain source-to-target mappings (STMs) and data dictionaries for critical subject areas. Define and document business rules, transformations, and data quality standards for new platforms.

Own and manage product backlogs for designated squads (e.g., Databricks, dbt/ETL, Testing). Lead backlog grooming sessions, ensuring stories are well-defined with acceptance criteria and traceability. Serve as Scrum Master for cross-functional, potentially distributed, squads. Facilitate all standard Agile ceremonies, including sprint planning, daily stand-ups, refinement, reviews, and retrospectives. Monitor and manage sprint metrics like velocity, burndown, and capacity. Proactively identify and resolve impediments, coordinating with project leads and architects.

A minimum of 8 years of experience in eliciting and documenting data, reporting, and reconciliation requirements across Policy, Claims, Billing, Finance, and agency operations. Demonstrated hands-on experience creating source-to-target mappings, documenting business rules, report logic, KPI definitions, and data dictionaries for enterprise data platforms. Proven ability to translate technical data structures, such as Guidewire CDA feeds and legacy AS400/DB2, into understandable canonical requirements for Silver layer design. Experience supporting data profiling, issue triage, User Acceptance Testing (UAT), report validation, and ensuring traceability from requirements to sign-off. Excellent stakeholder facilitation skills, with experience engaging business SMEs, product owners, actuaries, claims, underwriting, and regulatory/reporting teams.