We are seeking a Senior Data Modeler to lead the assessment and redesign of a legacy data ecosystem into a modern, scalable data lake architecture. This role will define the target-state data architecture and operating model across ingestion, standardization, validation, curated datasets, and governance in a complex, multi-partner environment.
The engagement will culminate in a structured gap analysis and phased migration roadmap, with clear sequencing and implementation recommendations. The ideal candidate brings deep modeling expertise, architectural clarity, and the ability to stabilize downstream processing ecosystems through disciplined data design and governance.
Responsibilities
Assess existing data ingestion pipelines, storage structures, data models, and batch processing dependenciesIdentify root causes of recurring data quality issues, lineage gaps, and downstream performance bottlenecksDesign a scalable, layered data architecture supporting raw ingestion, standardized data, and curated consumer-aligned datasetsDefine canonical data models to standardize heterogeneous partner data across formatsRecommend and apply appropriate modeling approaches, including dimensional, Data Vault, normalized, or hybrid modelsEstablish data validation, enrichment, and transformation patterns that improve reliability and consistencyDefine data quality rules, validation checkpoints, naming conventions, and metadata standardsDesign data contracts and schema evolution strategies to support partners onboarding and backward compatibilityEstablish governance and ownership models, including data stewardship and accountability frameworksDefine metadata management, lineage tracking, observability, and lifecycle management standardsConduct structured gap analysis between current and target statesDevelop a phased migration roadmap that minimizes operational risk and stabilizes downstream batch ecosystemsProvide implementation recommendations across people, process, tooling, and governance
Required Experience
Advanced expertise in logical and physical data modeling across structured and semi-structured dataStrong experience designing canonical data models and standardization strategiesDeep understanding of dimensional modeling, including star and snowflake schemasPractical knowledge of Data Vault and hybrid modeling approachesExperience transforming legacy data platforms into modern data lake or lakehouse ecosystemsProven track record addressing systemic data quality issues at scaleExperience designing ingestion frameworks for heterogeneous data sourcesStrong grasp of metadata management, lineage, and observability conceptsExperience defining governance models and stewardship frameworksDemonstrated ability to conduct structured assessments, gap analysis, and roadmap developmentStrong stakeholder engagement and architectural communication skills
Preferred Experience
Experience leading enterprise-scale data modernization initiativesDemonstrated success in stabilizing downstream batch ecosystems through improved modeling and governanceExperience delivering phased migration roadmaps in complex, multi-partner data environmentsExperience supporting healthcare payer data domains such as claims, enrollment, providers, or quality reporting
McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital-efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer-centric applications, modernizing systems for cost-effectiveness and security, and leveraging cloud scalability for future-ready architectures. With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI-optimized operations, ensuring seamless, secure, and efficient performance.
From supply chain automation to compliance and analytics, McLaren drives measurable impact: improving workforce productivity, reducing inventory costs, and cutting technology ownership expenses. With its emphasis on automation and zero business downtime, McLaren facilitates seamless migrations from legacy systems to modern platforms, enabling organizations to harness the full potential of digital transformation. Backed by strategic partnerships and a proven delivery model, McLaren empowers clients to innovate, modernize, and achieve lasting success in today’s digital economy.
McLaren is a certified minority owned business through the NMSDC and has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at McLaren. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm.
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