Data Analyst L3 (contract)

What the Client Is Looking ForThe client is seeking a senior consultant with expertise in data platform modernization, cloud architecture, and AI-enabled analytics initiatives. This role will support the planning, coordination, and execution of several strategic programs, including enterprise data warehouse migrations, data lakehouse modernization, Generative AI adoption, cloud infrastructure governance, and platform observability.The successful candidate will work closely with technical and business stakeholders to provide architectural oversight, ensure successful program execution, and drive alignment across multiple workstreams within a complex data ecosystem.Required SkillsEnterprise Data Warehouse Migration experienceCross-platform migration expertise, including Trino-to-BigQuery migrationsStrong understanding of Google BigQuery architecture and data warehousing conceptsData Lakehouse Architecture and modernizationApache Iceberg migration and lifecycle management (v1 to v2+)Metadata management and catalog synchronization processesExperience supporting Generative AI / LLM implementation initiativesAI Agent enablement, context-layer design, and structured query translation validationCost and performance evaluation of AI models (e.g., Gemini model families)Cloud Infrastructure Governance and DecommissioningAsset tracking, environment retirement, and operational handoff processesGrafana and observability/monitoring platformsSLO monitoring, telemetry analysis, and performance troubleshootingStrong stakeholder management, communication, and coordination skillsPreferred SkillsGoogle Cloud Platform (GCP)dbtApache SparkData Governance and Metadata Management solutionsFinOps and cloud cost optimization practicesEnterprise architecture and technical program leadership experienceExperience working within large-scale analytics and data transformation programsAI/ML platform implementation experienceIdeal CandidateThe ideal candidate is a seasoned data platform consultant who combines strong technical knowledge with excellent program coordination and stakeholder management capabilities. They have experience supporting enterprise-scale migration and modernization initiatives, understand modern data lakehouse and cloud architectures, and can effectively bridge the gap between engineering teams, architecture groups, and business stakeholders.They bring expertise across data warehousing, metadata management, observability, cloud governance, and emerging AI technologies, enabling them to provide strategic guidance while ensuring successful execution of complex transformation initiatives.The pay range that the employer in good faith reasonably expects to pay for this position is $49.63/hour - $77.86/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.