[Remote] Data Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Lucid Services Group is seeking an experienced Data Platform Lead to design, build, and scale a modern cloud-based data platform. This role involves overseeing the architecture, development, governance, and operational excellence of the client's data ecosystem while collaborating with various teams to meet data requirements.ResponsibilitiesDefine and execute the organization's data platform roadmap and architectureDesign scalable ELT/ETL frameworks leveraging dlt for data ingestion and pipeline developmentEstablish standards, best practices, and governance frameworks for data engineering and platform operationsLead platform modernization initiatives and cloud data architecture improvementsBuild and maintain robust data ingestion pipelines using dlt (Python)Develop scalable transformation layers using dbt, including data modeling, testing, and documentationDesign and optimize data warehouse solutions in SnowflakeImplement workflow orchestration, monitoring, and dependency management using DagsterEnsure data quality, lineage, observability, and reliability across all platform componentsLead and mentor a team of data engineersConduct architecture reviews and code reviewsPromote engineering best practices including CI/CD, testing, version control, and infrastructure as codeCollaborate with leadership to prioritize platform investments and technical initiativesMonitor platform performance, reliability, and cost optimizationImplement observability and alerting frameworks for pipelines and platform servicesEstablish SLAs and operational processes for production supportDrive continuous improvement in data platform scalability and resiliencePartner with Analytics, Data Science, Product, and Business teams to understand data requirementsTranslate business needs into scalable technical solutionsSupport self-service analytics and data product development initiativesLead the design and implementation of enterprise-scale data warehouse and data lakehouse architecturesDefine and enforce enterprise data modeling standards, including dimensional, normalized, and data vault methodologies where appropriateCollaborate with business and analytics teams to translate business processes into scalable, maintainable data modelsDesign conformed dimensions, fact tables, and semantic layers to support self-service analytics and reportingEnsure consistency, governance, lineage, and reusability across enterprise data assetsSkillsSignificant experience designing and implementing Enterprise Data Warehouses (EDW)Deep expertise in data modeling, data architecture, and Snowflake platform engineeringExperience defining strategic data architecture and working hands-on within Snowflake to optimize performance, scalability, governance, and costExperience building and maintaining robust data ingestion pipelines using dlt (Python)Experience developing scalable transformation layers using dbt, including data modeling, testing, and documentationExperience designing and optimizing data warehouse solutions in SnowflakeExperience implementing workflow orchestration, monitoring, and dependency management using DagsterExperience ensuring data quality, lineage, observability, and reliability across all platform componentsExperience leading and mentoring a team of data engineersExperience conducting architecture reviews and code reviewsExperience promoting engineering best practices including CI/CD, testing, version control, and infrastructure as codeExperience collaborating with leadership to prioritize platform investments and technical initiativesExperience monitoring platform performance, reliability, and cost optimizationExperience implementing observability and alerting frameworks for pipelines and platform servicesExperience establishing SLAs and operational processes for production supportExperience driving continuous improvement in data platform scalability and resilienceExperience partnering with Analytics, Data Science, Product, and Business teams to understand data requirementsExperience translating business needs into scalable technical solutionsExperience supporting self-service analytics and data product development initiativesExperience leading the design and implementation of enterprise-scale data warehouse and data lakehouse architecturesExperience defining and enforcing enterprise data modeling standards, including dimensional, normalized, and data vault methodologies where appropriateExperience collaborating with business and analytics teams to translate business processes into scalable, maintainable data modelsExperience designing conformed dimensions, fact tables, and semantic layers to support self-service analytics and reportingExperience ensuring consistency, governance, lineage, and reusability across enterprise data assetsCompany OverviewLucid Services Group is a consulting firm that offers recruitment, project management, and workforce solutions to various businesses. It was founded in 2016, and is headquartered in Indianapolis, Indiana, USA, with a workforce of 51-200 employees. Its website is https://www.lucidservicesgroup.com.Company H1B SponsorshipLucid Services Group has a track record of offering H1B sponsorships, with 1 in 2026, 10 in 2025, 13 in 2024, 7 in 2023, 17 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.