Senior Data Engineer

Requirements: Coding Assessment and final onsite interviewMUST HAVE CURRENT AWS experienceFinal interview is onsite in FloridaRole: Senior Data EngineerSalary: $150,000-170,000Fully remoteBenefits include 401K, Medial and Dental, and annual bonusNOT OPEN TO C2C, Sponsorship, or any VisasClient can only hire SC or GC HoldersAs a Senior Data Engineer, you will be working on our data systems and services with other data engineers to deliver projects and systems critical to Platform Ventures business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for our customers.Strong Communication with vendors, customers, C-Suite executives, and co workers is imperative.Job DescriptionThe candidate will design and develop data pipelines, data marts, and schemas to support our data warehousing environments and analytical requirementsData Platform & ArchitectureDesign and implement scalable data Lakehouse architectures using AWS S3, Delta Lake, and Redshift.Build and maintain high-performance data pipelines to ingest, transform, and curate large datasets.Define best practices for data modeling, partitioning, and storage optimization in a Lakehouse/medallion environment.Develop and maintain data cataloging and metadata management solutions.Data Engineering & ProcessingDevelop ETL/ELT pipelines using Python, PySpark, and AWS Glue.Build robust batch and streaming data pipelines.Implement transformation workflows using DBT.Optimize performance for Spark workloads and Redshift queries.Workflow OrchestrationDesign and maintain workflow orchestration using Apache Airflow.Monitor pipeline performance and implement alerting and failure recovery.Data Governance & QualityImplement data validation, lineage, and monitoring frameworks.Maintain data documentation and data catalog integration.Ensure data reliability, consistency, and security across platforms.DevOps & AutomationImplement CI/CD pipelines for data workflows.Automate testing, deployment, and monitoring of data pipelines.Use infrastructure-as-code where possible to maintain reproducible environments.CollaborationWork closely with data consumers, analysts, and platform engineers.Support self-service analytics through well-structured datasets and semantic models.Minimum Qualifications:7+ years of data warehousing / OLAP experience7+ years multidimensional database architecture, data modeling, and design experience5+ years of SQL Experience3+ years of Python Experience2+ years of Redshift Experience2+ years of NoSQL ExperienceTeam and vendor partner managementClear understanding of principles and techniques of Web developmentExperience with AWS Glue, Lambda, Step Functions, and AirflowExperience with data ingression from APIsDimensional database architecture experienceFormal systems life cycle methodology experienceExperience implementing CI/CD pipelines for data workflowsExperience working with data catalogs and metadata managementDesired Qualifications:AWS Data Warehouse operations experienceTableau, Quicksight, Looker, big data and Realtime BI experienceExperience with data streamingEqual Opportunity Employer/Veterans/DisabledMilitary connected talent encouraged to applyTo read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.lhh.com/us/en/candidate-privacyThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:The California Fair Chance ActLos Angeles City Fair Chance OrdinanceLos Angeles County Fair Chance Ordinance for EmployersSan Francisco Fair Chance OrdinanceMassachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.