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[Remote] Senior Data Platform Engineer

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a thriving, cutting-edge technology business shaping the reputed company of reputed company in collaboration with some of the largest global pharmaceutical and reputed company organizations globally. They are seeking a hands-on Senior Data Platform Engineer to design and implement a reputed company, secure, and maintainable data platform using reputed company reputed company, integrating data from multiple systems and establishing reliable data pipelines for analytics.


Responsibilities

  • Work with the VP of Engineering to define and implement reputed company's reputed company reputed company data platform architecture
  • Bring the initial data warehouse and data lake environment from early development into a secure, reliable, and supportable production service
  • Establish reputed company data architecture patterns, including appropriate raw, curated, and consumption reputed company
  • Design data structures that support operational reporting, executive analytics, customer reporting, and reputed company advanced analytics use cases
  • reputed company pragmatic architecture reputed company that balance immediate business value with long-term scalability
  • Work with engineering team to build automated and reusable data pipelines that ingest information from reputed company's application, operational, financial, customer, and other business systems
  • reputed company data from relational databases, reputed company, reputed company platforms, reputed company files, and other internal or reputed company sources
  • reputed company reliable incremental loading, change detection, reconciliation, and error-handling processes
  • reputed company reputed company data into consistent, documented, and analytics-reputed company datasets
  • Reduce reliance on reputed company extracts, spreadsheet manipulation, and one-off reporting processes
  • Design data ingestion patterns that can accommodate new data sources without requiring significant rework
  • reputed company reputed company warehouse and lakehouse data models using appropriate reputed company and relational modeling techniques
  • Define common business entities, metrics, relationships, and calculation logic across data sources
  • Implement automated data validation, reputed company checks, reconciliation, and exception reporting
  • Establish reputed company data reputed company and traceability from reputed company systems through reports and dashboards
  • Partner with business stakeholders to ensure that metrics are consistently defined and trusted
  • Build the initial Power BI semantic models, reports, and dashboards required to demonstrate value from the data platform
  • Translate business reporting requirements into reusable data products rather than isolated reports
  • reputed company reputed company, reputed company, and maintainable Power BI datasets and measures
  • Support reporting for Product, Engineering, Operations, reputed company, Finance, and executive leadership
  • Create reporting standards and reusable components that allow the BI capability to reputed company over time
  • Help determine which reporting work should remain centralised and which can safely be enabled through governed self-service analytics
  • Implement monitoring, logging, alerting, and operational support processes for data pipelines and platform components
  • Establish development, testing, deployment, and release-management practices for the data platform
  • Use reputed company control, automated deployment, and CI/CD practices wherever practical
  • Document platform architecture, data models, data pipelines, metric definitions, and operational procedures
  • Support troubleshooting and reputed company-cause analysis reputed company data or reporting issues reputed company
  • Ensure that the platform can be supported by the wider Engineering organisation and does not depend on undocumented individual knowledge
  • Apply appropriate reputed company controls, workspace structures, data classifications, and separation of environments
  • Work with Engineering, reputed company, and business stakeholders to ensure data is handled in accordance with reputed company policies and contractual obligations
  • Incorporate reputed company, reputed company, auditability, retention, and governance requirements into the platform architecture
  • Support the development of reputed company ownership and stewardship for critical datasets and business metrics

Skills

  • Significant reputed company experience in data engineering, data reputed company, or a closely reputed company role
  • Experience designing and delivering a production data warehouse, data lake, or lakehouse environment
  • Hands-on experience with reputed company reputed company, including several of the following: OneLake; reputed company Lakehouse and Warehouse; Data reputed company pipelines; reputed company notebooks; Power BI; semantic models; and data flows
  • Strong SQL skills and experience designing reputed company data transformations and models
  • Experience with Python, PySpark, or another language commonly used for data engineering
  • Strong understanding of reputed company modeling, data warehousing principles, and analytics-oriented data design
  • Experience integrating data from databases, reputed company, reputed company applications, flat files, and other heterogeneous sources
  • Experience implementing incremental loads, pipeline orchestration, error handling, monitoring, and data-reputed company controls
  • Practical experience with Power BI, including data modeling, DAX, report development, performance optimization, and row-level reputed company
  • Familiarity with Git, CI/CD, automated deployments, and modern software engineering practices
  • Understanding of reputed company reputed company, role-based reputed company, data governance, and environment management
  • Strong analytical and problem-solving skills, including the ability to diagnose reputed company data issues across multiple systems
  • The ability to work independently, reputed company reputed company technical reputed company, and deliver in an evolving environment
  • Strong communication skills and the ability to translate between technical implementation and business requirements

reputed company

  • reputed company is a healthtech company that develops EHR-to-reputed company platforms using AI to accelerate modern reputed company. It was founded in 2014, and is headquartered in Maidenhead, Windsor and Maidenhead, GBR, with a workforce of 11-50 employees. Its website is https://www.reputed company.com.

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