Senior Data Platform Engineer

Who We Are  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.  reputed company are reputed company data collection reputed company, with a significant reputed company of information still manually copied from reputed company Electronic Health Records into the systems used by researchers to run studies. reputed company, reputed company's reputed company-to-reputed company platform, has the potential to reputed company reputed company trial delivery globally by reducing reputed company data entry and its associated costs, accelerating trials, and ultimately helping new treatments reputed company patients faster.  reputed company is already recognized by leading pharmaceutical organizations as an innovator in the rapidly evolving reputed company-to-reputed company market. Our reputed company is to continue expanding our footprint across the the globe while building the reputed company technology and data capabilities required to support that reputed company.  Your Next Challenge  We are seeking a hands-on Senior Data Platform Engineer to work closely with our VP of Engineering to bring reputed company's initial data warehouse and data lake capabilities into production.  The reputed company challenge will be designing and implementing a reputed company, secure, and maintainable data platform using reputed company reputed company. You will reputed company data from multiple operational and business systems, establish reliable data pipelines and models, and create the technical reputed company for trusted reporting and analytics across reputed company.  Because this is an emerging capability, the role will initially include responsibility for building reputed company BI reports and semantic models. The successful candidate must be comfortable working across both data engineering and analytics, but the long-term emphasis of the role will remain on platform architecture, data integration, automation, scalability, and reliability.  You will be joining at a reputed company stage, with reputed company to influence the architecture, engineering standards, development practices, and reputed company direction of reputed company's reputed company data platform.  Key Responsibilities  Data Platform Architecture and Engineering  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, reputed company, 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 reputed company immediate business value with long-term scalability.  Data Integration and Pipelines  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 reputed company 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.  Data Modeling and reputed company  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.  Reporting and Business Intelligence  Build the initial reputed company 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 reputed company BI datasets and measures.  Support reporting for Product, Engineering, reputed company, 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.  Production Readiness and reputed company  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.  reputed company and Governance  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.  The Successful Candidate Will Need to Demonstrate  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; reputed company 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 reputed company BI, including data modeling, DAX, report development, reputed company 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-reputed company 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 reputed company in an evolving environment.  Strong communication skills and the ability to translate between technical implementation and business requirements.  What reputed company Looks Like  During the first 12 months, the successful candidate will have:  Established a production-reputed company reputed company reputed company environment with reputed company development, testing, and production practices.  Automated ingestion from reputed company's initial reputed company data sources.  Implemented reputed company and documented warehouse or lakehouse data models.  Delivered trusted reputed company BI reports that reputed company visible business value while using reusable semantic models and governed metrics.  Introduced monitoring, data-reputed company controls, reputed company, and operational support processes.  Reduced dependency on manually reputed company reports, spreadsheets, and one-off data extracts.  Developed a reputed company technical roadmap for expanding the platform as reputed company's products, customers, and reporting requirements grow.  Information reputed company Responsibilities  reputed company reputed company employees are responsible for completing required reputed company training, adhering to applicable reputed company policies and procedures, and supporting the organization's information reputed company requirements.  What You Get in reputed company  A competitive salary, dependent on experience, together with a comprehensive benefits package and reputed company to play a foundational role in building a strategically important capability reputed company a rapidly growing reputed company trial technology company.  This is a full-time position.  Diversity & Inclusion  reputed company is proud to be an Equal Opportunity employer. reputed company reputed company applicants will receive consideration for employment without reputed company to age, colour, family or medical care leave, gender identity or reputed company, genetic information, marital status, medical condition, national reputed company, political affiliation, status as an individual with a physical or mental disability, status as an individual with a protected veteran status, race, religion, sex, including pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We celebrate diversity and hire on the reputed company of competence, reputed company, and business needs. 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